Antoine Bosselut
@ABosselut
Followers
3,448
Following
605
Media
41
Statuses
1,007
Helping machines make sense of the world. Asst Prof @ICepfl ; Before: @stanfordnlp @allen_ai @uwnlp @MSFTResearch #NLProc #AI
Joined March 2013
Don't wanna be here?
Send us removal request.
Explore trending content on Musk Viewer
taeil
• 1475439 Tweets
Arlington
• 497178 Tweets
#الهلال_ضمك
• 71129 Tweets
Marley
• 46992 Tweets
Morara
• 43538 Tweets
Guanipa
• 42942 Tweets
$NVDA
• 38408 Tweets
#TransferlerNeredeAliKoç
• 35532 Tweets
سالم
• 31448 Tweets
Pirates
• 30739 Tweets
Southampton
• 29078 Tweets
Pope
• 26008 Tweets
Ramsdale
• 22104 Tweets
Cubs
• 19705 Tweets
Hussein
• 19681 Tweets
Vatican
• 19499 Tweets
Miguel Uribe
• 17836 Tweets
#ceremoniedouverture
• 17424 Tweets
كاراسكو
• 13916 Tweets
جيسوس
• 13679 Tweets
البليهي
• 13154 Tweets
Ceballos
• 12293 Tweets
القحطاني
• 11828 Tweets
Fekir
• 11323 Tweets
Sundowns
• 10490 Tweets
Zombies Wunderwaffe
• 10215 Tweets
Last Seen Profiles
Pinned Tweet
Check out our Meditron-7B & 70B
#LLMs
adapted for medicine. Test them, break them, and help us find ways to make them better. AI safety only moves forward with open models and community efforts.
Don't use MEDITRON in real world apps without further testing and alignment.
4
46
245
The next few years are going to be critical for setting the norms for safe deployment and societal integration of AI.
We've launched the
#SwissAI
initiative to meet this challenge.
3
39
271
I’ll be building up a new
#NLProc
group at
@ICepfl
starting in Fall 2021! Apply to the EDIC PhD program if you’re interested in challenges at the intersection of NLP, commonsense reasoning, and knowledge representations.
Antoine Bosselut (
@ABosselut
) has openings for
#PhD
students in his group. Find out more about his
#research
at: , and learn more about our
@EPFL
#EDIC
#computerscience
PhD program:
0
4
26
4
48
235
It’s an honor to have been named to the
#ForbesUnder30
Europe list in Science & Healthcare. Looking forward to joining
@ICepfl
@EPFL
in a few months and growing research thrusts in
#NLProc
, knowledge representations, and reasoning.
21
11
169
(1/n) Can machines make commonsense predictions? ☄️COMET☄️can! (). Check out new work from
@uwnlp
and
@allen_ai
with Hannah Rashkin,
@MaartenSap
,
@cmalaviya11
,
@real_asli
, and
@YejinChoinka
appearing at
@ACL2019_Italy
3
35
151
NEW PAPER ALERT: Many
#NLProc
systems integrate external commonsense, but do they retrieve relevant knowledge for this integration? Our
#EMNLP2022
Findings paper proposes ComFact, a challenging dataset for linking contextually-relevant commonsense to natural language contexts
1
21
104
I will be taking on new PhD students next Fall. Apply to the EDIC program if you’re interested in challenges at the intersection of
#NLProc
, reasoning, and knowledge representation. Come work with me, Deniz, and the
@ICepfl
NLP lab!
The Natural Language Processing Lab is looking for
#PhD
students. Find out more about Deniz's
#research
at , and about our world-leading
@EPFL
#EDIC
#computerscience
PhD program:
@ABosselut
0
6
27
1
23
96
Hey folks, I'll be presenting a poster on our work "Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering" at the AAAI poster session this morning and evening (BC-D4-R2).
4
7
69
NEW SOFTWARE: Have you wanted to use
#NLProc
knowledge models (like COMET), but don't know how to get started? Well, look no more! Our new python toolkit kogito () provides an intuitive and extensible starting point to interact with knowledge models.
2
24
65
Hey everyone, I’m excited to announce “Efficient Adaptation of Pretrained Transformers for Abstractive Summarization,” a work by Andrew Hoang, myself,
@real_asli
and
@YejinChoinka
.
1/
1
18
66
My new favorite game:
is it motivational quote or a tip for effective reinforcement learning?
Assigning credit is less about rewards, and more about assigning influence for future decisions. Attribution is crucial, but for different reasons than one might think.
2
36
176
1
8
60
Hey
#NLProc
folks, we're hosting some guest lectures this Fall and we want YOU to present your work. If you're an early-career researcher (PhD or PostDoc or junior research scientist), we want to invite you to EPFL to share your work with us! 1/
1
18
61
Me on a debate show discussing
#ChatGPT
sounds like an idea straight from ChatGPT! And yet... what a pleasure to have gone on Infrarouge last night to discuss
#ChatGPT
and
#NLProc
with
@alexisfavre
and my esteemed colleagues on the panel.
4
3
55
Great talk by
@gregd_nlp
at the
#ACL2022
@csrr_workshop
highlighting how explicit commonsense explanations produced by language models often end up contradicting themselves
0
5
50
Hey folks, join us for our AAAI '21 tutorial on Commonsense Knowledge Acquisition and Representation starting now:
2
4
49
Super excited that our workshop on Methods for Optimizing and Evaluating NLG will be hosted at
@NAACLHLT
2019. Reviewers were excited about our invited speakers so make sure to come find out why! See you in Minneapolis!
#nlg
#neuralgen2019
#nlproc
1
12
47
We're putting together a workshop on finding better ways to evaluate, generalize and train NLG! We've got an awesome lineup of agreed speakers (), so if you find it interesting, vote for us in the workshop survey! (check your inbox)
#nlproc
#neuralgen2019
It's workshop survey time! Make sure to check out these workshops being organized by UW NLP this year at ACL/NAACL/EMNLP!
0
13
26
2
21
47
Not satisfied with his appearance as an extra at my ACL tutorial, Theo (my cat) decided he deserved a full-on cameo this time at AAAI. Maybe he'll improvise some lines next time.
3
0
45
Super excited about this work! A reasoning module with richer interactions between KGs and language representations. Shifted my thinking on commonsense in
#NLProc
!
Excited to share our
#NAACL2021
paper "QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering"! Joint work with
@ren_hongyu
@ABosselut
@percyliang
@jure
@StanfordAILab
Paper:
Github:
Thread below [1/6]
1
48
187
0
8
46
First paper in collaboration with
@allen_ai
accepted to
#emnlp2018
: Process Paragraph Comprehension using World Knowledge. Big thanks to Niket Tandon, Bhavana Dalvi,
@joelgrus
,
@scottyih
and Peter Clark!
2
3
45
The video for the talk I gave at
@WeCNLP
2019 on COMET, a training framework for adapting pretrained language models for knowledge graph construction, is now available:
w/
@hjrashkin
@MaartenSap
@cmalaviya11
@real_asli
@YejinChoinka
@allen_ai
@uwcse
1
6
42
Super excited about
@mismayilsoy
's new benchmark CRoW, which measures commonsense reasoning ability in real-world
#NLProc
tasks (e.g., MT, summarisation, dialogue, etc.). In case you're wondering,
#GPT4
scores far lower than humans!
Does your NLP system use commonsense when it matters? Hard to say when we use benchmarks that test models in artificial QA scenarios. We built CRoW🐦⬛, a new benchmark that evaluates model commonsense reasoning in real-world tasks where we actually use it
🧵
1
14
67
1
12
44
Hey folks, I’ll be hosting a
#NAACL2021
birds of a feather session on sentence-level semantics and textual inference tomorrow at 6 PT/ 9 ET. Come join us to discuss (and explore collaborations on) sentence representations, compositionality, commonsense, and reasoning!
1
5
39
It's incredible to me how many
#NLProc
reviews I see giving lower scores to papers because there's "no modeling contribution." Why do we have such a bias for this? Most models end up having little impact on the development of the field in general.
2
4
38
shameless plug for what reasoning in representation space could look like:
Auto-Regressive LLMs have a role to play: turning abstract ideas into token sequences (words, actions, code...).
But abstract ideas should be elaborated through planning/reasoning in representation space.
AR-LLMs go directly from prompt to answer, skipping the step of reasoning
56
110
970
2
1
36
What makes
#SwissAI
special ? We've built up a consortium of 70 PIs across Switzerland, and are partnering with the Swiss Supercomputing Center to use the new Alps cluster with 10k H100s to develop and research AI at scale.
2
8
32
Super pumped about this work from
@ZemingChen5
! A few years back I saw a talk by Hinton distinguishing updates to model activations and model weights as fast vs. slow computations. In that case, maybe model weights could be the engines of System 2 reasoning! Spoiler: they can!
When reasoning, how should models disentangle useful information from noise? How about mixing it with other memories and seeing what sticks! Our bi-level learning algo, RECKONING, teaches models to reason by encoding context into model weights at inference time.
2
19
72
1
5
31
Learn more about 🦚PeaCoK, our new commonsense knowledge resource that explores interests, traits, and shared experiences of personas! Our resource leads to major improvements on dialogue modeling when shared personas can be identified between speakers and listeners!
0
8
28
Absolutely thrilled that
@silin_gao
@obiwit
@denizbayazit
's paper: "PeaCoK: Persona Commonsense Knowledge for Consistent and Engaging Narratives" received an Outstanding Paper Award at
@aclmeeting
#ACL2023NLP
NEWS ALERT: Our paper “PeaCoK: Persona Commonsense Knowledge for Consistent and Engaging Narratives” was selected by
#ACL2023
best paper committee for the outstanding paper award! Welcome to see and chat at our two poster sessions during the conference (detailed info below)!
2
5
40
1
6
28
Hey folks,
@real_asli
and I had a great first QA session for our
#EMNLP2020
NLG tutorial! Join us later today with
@yangfeng_ji
at 5 PM PT for session
#2
. Looking forward to your questions!
1
4
25
I'll be giving a talk
@BlackboxNLP
tomorrow afternoon titled "From Mechanistic Interpretability to Mechanistic Reasoning". Come find out how we can discover and manipulate subnetworks (circuits ?) in
#LLMs
to modify model behavior.
Only 2 more days until BlackboxNLP gets started! Have a look at the schedule, it's filled to the brim with exciting interpretability research🤩
0
5
26
0
1
26
Thanks for highlighting our
#NLProc
+
#LLM
+
#neuroscience
work!
@bkhmsi
will be
@NeurIPSConf
#NeurIPS2023
presenting this work in the
@itif_workshop
& UniReps workshops. Also, 1st author
@Khai_Loong_Aw
is looking for PhD programs this winter. Snatch him up while you can!
Instruction-tuning Aligns LLMs to the Human Brain
paper page:
Instruction-tuning is a widely adopted method of finetuning that enables large language models (LLMs) to generate output that more closely resembles human responses to natural language
3
45
219
0
2
23
Check out our
#NLProc
paper on whether multilingual
#LLMs
can solve reasoning problems when information is provided in multiple languages. Super important for democratising NLP globally! Published in Findings and to be presented at
#EMNLP2023
.
Do multilingual language models (MultiLMs) have what it takes to reason across languages?
Our
#EMNLP2023
#NLProc
paper proposes a new attention mechanism that considerably improves the cross-lingual generalization of MultiLMs!
3
23
142
0
1
24
Looking forward to giving a talk and discussing new ways of integrating structured knowledge into neural networks at
#kinn2021
#cikm2021
this Fall!
#NLProc
#nlproc
we have a stellar list of speakers for
#kinn2021
#cikm2021
workshop:
@luislamb
@rao2z
@GaryMarcus
@VeredShwartz
@ABosselut
@partha_p_t
Regular papers/non-archival submissions/WIP welcome.
@PMinervini
@somakaditya
@Yezhou_Yang
@vasudev_lal
0
7
26
0
2
23
just searched for a document safe on galaxus (swiss amazon) and got a bunch of paper shredders as return results. I'm not sure whether this is too little or too much commonsense
0
0
23
The EPFL
#NLProc
lab is hiring a postdoc in the areas of multimodal language and vision systems and open domain QA. Apply here:
Preferred start date: Aug 1st
0
10
22
Check out our tutorial at
#AAAI2022
on neuro-symbolic methods for
#NLProc
and computer vision. I'll be talking for ~50 minutes on aligning knowledge graphs with neural NLP systems!
We will be presenting a tutorial at AAAI 2022 about Neuro-Symbolic Methods for Language and Vision on Feb. 23 from 9 AM - 12 PM (PST), if you are attending AAAI please stop by:
@ABosselut
@pdasigi
1
2
15
1
3
21
Join us at the
#acl2022nlp
Commonsense Representation and Reasoning Workshop. We'll be starting at 9 AM with a talk by
@megamor2
on "Debugging Transformer Language Models Inside Out"
#NLProc
#CSRR
0
2
21
Hey
#NLProc
folks, we still need some emergency reviewers for the
#EMNLP2023
Commonsense reasoning track. Reach out if you'd be interested in being an emergency reviewer for papers in the track. Thanks!
4
11
20
That's right folks -- back in action for one night only! Come hear me talk about
#LLM
reasoning through parameter updates.
Check out our
#NeurIPS2023
paper, RECKONING, on reasoning as meta-learning.
I am unable to attend due to visa issues, but my amazing advisor
@ABosselut
will present the poster!
Time: Wed 13 Dec 5 p.m. CST — 7 p.m. CST
Location: Great Hall & Hall B1+B2 (level 1)
1
3
21
0
3
19
Also
#NLProc
folks, if you're late with your reviews, TELL YOUR ACs! There's a HUGE difference between having a late review... and not completing it. Might feel awkward to tell them, but they'll be so much happier than to have to recruit emergency reviewers for your papers!
0
8
33
I’ll be at
@emnlp2020
virtually in a week so feel free to shoot me a message if you’re interested in learning more about the program! I encourage EVERYONE to apply, particularly if you come from a non-traditional background!
0
1
18
Check out our:
Paper:
Code:
Distributed trainer:
Huggingface hub:
0
2
17
Starting back up again for round 2!
Also, Theo will be presenting!
Hey folks, I'll be presenting a poster on our work "Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering" at the AAAI poster session this morning and evening (BC-D4-R2).
4
7
69
0
1
17
Check out our new
#emnlp
paper on counterfactual reasoning in narrative generation! New dataset for testing whether models understand how counterfactual situations alter future events in a story! Joint work between
@allen_ai
and
@uwnlp
What if Harry Potter had been a Vampire?
Our
@emnlp2019
paper, “Counterfactual Story Reasoning and Generation”, presents the TimeTravel dataset that tests causal reasoning capabilities over natural language narratives.1/2
Paper:
from
@uwcse
and
@allen_ai
2
36
117
0
3
16
I'll be giving a talk today at the Stanford Graph Learning Workshop on NLP applications. Come learn how knowledge graphs can be used to scaffold commonsense representation and reasoning.
#NLProc
Livestream:
Program:
1
3
16
I'll be at
#EMNLP2023
and
#NeurIPS2023
the next two weeks, so come chat with me about SwissAI and doing research in Switzerland !
Learn more:
News release:
0
0
14
Thrilled to be launching this collaboration with
@devistuia
on using
#NLProc
to generate knowledge-guided explanations for earth observation imagery! If you're interested in multimodal, open book NLP, reach out! We'll be hiring in these exciting areas!
Happy to start a fantastic project at the interface of
#EarthObservation
and
#NLP
together with the great
@ABosselut
!
1
3
20
0
4
14
Check out our workshop at co-located with NAACL 2019! Great speakers, great topics, great OC/SC (
@ukhndlwl
@gh_marjan
@sriniiyer88
@real_asli
@Thom_Wolf
Hannah Rashkin
@dilekhakkanitur
@YejinChoinka
@jurafsky
@harvardnlp
). Look forward to seeing you there!
A workshop on novel methods for training & evaluating language generation models
📣First Call for Papers
Submission deadline: 11 March 2019
Even if you can't submit you'll probably want to come enjoy our amazing panel of speakers (to be confirmed soon)👇
1
22
68
0
5
15
Super exciting to see these lectures be made publicly available! It was a lot of fun to teach the NLG lecture last winter.
#NLProc
Looking for a series to binge-watch with more depth? We are delighted to make available the latest CS224N: Natural Language Processing with Deep Learning. New content on transformers, pre-trained models, NLG, knowledge, and ethical considerations.
#NLProc
1
42
182
0
1
15
Come check out
@bkhmsi
&
@Khai_Loong_Aw
's poster: "Instruction-tuning Aligns LLMs to the Human Brain" at the:
- Instruction Tuning Workshop @ 1 PM
- UniReps Workshop @ 3 PM
1
0
15
#ICML2023
is over, so join us
@EPFL
for the biggest event on
#GenAI
this summer! We brought together
@ev_fedorenko
@egrefen
@jefrankle
@kchonyc
Angela Fan
@danielrock
@drnigam
@EPFL_CREATE
@IoanDragosT
& more for two days of talks on the outlook of GenAI!
AMLD is back this summer with a hot topic: Generative AI!
Join us for an exclusive event and the opportunity to meet with high profile experts at this pivotal moment of the AI Generative wave.
Get your tickets now!
0
15
25
0
4
15
Noam Shazeer telling me things I've always known about myself.
0
0
14
Do multilingual language models (MultiLMs) learn different languages using the same subset of parameters? In our
#EMNLP2022
#NLProc
paper, we show that MultiLMs are composed of language-neutral representations that jointly encode multiple languages.
1
13
85
0
1
14
(12/12) We make our code available at: ...
Public demos forthcoming!
1
2
13
Until then, I'm thrilled to be spending a year working with
@chrmanning
and
@jure
, and the
@stanfordnlp
and SNAP groups.
0
0
13
Hey
#NLProc
folks, EPFL has an open call for faculty positions this year!
It's not too late to apply, so come join us in Switzerland!
If you're at EMNLP next week and want to learn more, come find me!
0
2
11
and once you get it to work, you find out your rewards weren't correlated enough with the behavior you actually wanted to encourage, so the model's just learned to gather it without doing anything better...
#RL
hah, Sergey Levine, after teaching Reinforce, ended w sth like "if u try this algorithm as is, it probably won't work on anything, even grid world." oh how i wish someone'd told me that ~2010 when we wasted so much time cuz this was not obvious from literature :(
#dlrl2018
1
27
204
1
3
11
My NAACL deadline playlist:
2
1
12
Really excited to organize this a second time around! We've got great speakers lined up from psychology, neuroscience, and of course,
#NLProc
! Survey is long, but if you're just trying to express interest in our workshop, all you gotta do is scroll down to the bottom.
After a successful CSKB earlier this month (), we submitted a proposal for a second iteration during one of the 2022 *CL conferences. If you'd be interested in attending our commonsense workshop, please indicate that in this survey:
0
7
38
0
0
11
Come join the
#NLProc
lab at
@ICepfl
() to work on developing natural language agents that understand world knowledge!
Antoine Bosselut is looking for
#PhD
students. Find out more about
@ABosselut
's
#research
at and our world-leading
@EPFL
#EDIC
#computerscience
PhD program:
0
1
27
0
3
11
Missed opportunity for the YODA model name!
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little
MLMs pretrained on sentences with randomly shuffled word order surprisingly achieves high accuracy after fine-tuning on many downstream tasks.
10
46
298
1
0
11
Just saw some papers in the AAAI Fast Track that I bid on as an ICLR AC earlier this week. Please don't do this. Both conferences have clear dual submission policies and reviewing is already overloaded.
2
0
10
Thanks to my amazing student
@silin_gao
for leading this project, collaborators
@JenaHwang2
@allen_ai
and Saya Kanno, Hiromi Wakaki &
@mittu1204
@Sony
R&D for their support!
Paper:
Code&Models:
EPFL NLP Lab:
0
1
10
Special thanks to my amazing collaborators at
@uwcse
@uwnlp
:
@YejinChoinka
@real_asli
@etzioni
@MaartenSap
@hjrashkin
@GabrielSaadia
@Lianhuiq
@liweijianglw
@janmbuys
@universeinanegg
@maxforbes
@rown
@amini_aida
@HannaHajishirzi
@PeterWestTM
2
0
10
(3/n) In our paper “COMET☄️: Commonsense Transformers for Automatic Knowledge Graph Construction”, we cast this problem as KG construction and propose a framework that uses transformer language models to generate high quality novel KG nodes given a seed node and a relation to it
1
3
9
Check out
@dallascard
if you're applying to PhD programs for
#NLProc
/ ML! I shared an office with him for three years (
#thefunoffice
), so I'm a bit biased, but he's the advisor you'll want on both the good and bad days.
I'm really looking forward to reading PhD applications for
@umsi
! If you're interested in historical or political text, the cultures and practices of science, or the societal impacts of machine learning, please consider applying by December 1st!
3
30
132
0
3
9
(11/n) Conclusion: Large language models learn implicit relationships between concepts when pretrained on large scale corpora. Train the model on a seed knowledge graph and it can adapt to produce knowledge with the explicit relations and structure you want!
1
2
9
Naming your model MAGiC is one of the funnier things you can do when giving a ML talk
"We use Magic to..."
"Magic can..."
so many more great moments...
2
0
9
Mentor-mentee matches for the ACL 2021 (
@aclmeeting
) Review Mentoring program have been sent out. Mentees should have received an e-mail (from me) introducing you to your mentor. *Make sure to check your spam folders!*
1
0
9
Speaking of rankings, if you’re into them, EPFL is ranked
#8
worldwide in computer science (). Disclaimer: don't choose a PhD program based only on rankings.
2
1
7
If you've been wanting to experiment with GNNs in your research,
@youjiaxuan
has created a new library that lets you deploy and test quickly!
We are excited to release
#GraphGym
, a platform for designing and evaluating
#GraphNeuralNetworks
.
It provides a modularized pipeline, a system for launching thousands of experiments, and more!
Code:
Paper:
#NeurIPS2020
Spotlight
4
50
232
1
0
8
Cool result! But we're in an arms race for AI model names. No one gets to claim "BigBird" for fine-tuning BERT on a new task!
#NotBigBird
#JustBERT
BigBird (built on BERT) gets 93.84% on
@allen_ai
's
#SciTail
dataset. See:
You can't make this stuff up...
#SeasmeStreet
2
32
101
2
0
8
How do we build ComFact? We sample natural language contexts from four diverse corpora and crowdsource ~293K contextual relevance annotations on fact candidates sampled from a commonsense KG
1
1
7
@emilymbender
I don't think "most sheep are black" is mentioned in the paper, but the reporting bias citation I usually use is:
Gordon, J., & Van Durme, B. (2013). Reporting bias and knowledge acquisition. In Proceedings of the 2013 workshop on Automated knowledge base construction. ACM.
1
0
7
@stanfordnlp
:
@ShikharMurty
@_eric_mitchell_
@michiyasunaga
@ren_hongyu
@Zhang_Yu_hui
@xikun_zhang_
@jure
@chrmanning
and many more whose Twitter handles I cannot find!
1
0
7
(4/n) The key idea is that transformer language models learn commonsense knowledge when trained on large-scale corpora. By finetuning on a seed set of knowledge tuples, the knowledge is extractable in the right structure for downstream application or representation
1
1
7
Come check out
@agromanou
's
#EMNLP2023
poster tomorrow (12/9) at 9 am !
Do LLMs understand causality between real-world events?
In our
#EMNLP2023
#NLProc
work, we create 🦀 CRAB, a challenging benchmark to assess LLMs causal reasoning abilities.
Join the poster session tomorrow, 09 Dec @ 9:00, to find out more!
🚨 SPOILER ALERT: they don't do well
0
14
31
0
0
7
And we're back at the
#ACL2022
#CSRR
workshop for our afternoon session. Ev Fedorenko (
@ev_fedorenko
) is here to tell us about "The language system in the human brain"
0
0
7
Possible (though not comprehensive topics): data understanding, training at scale, ethics in NLP, retrieval & tool augmentation, interpretability & alignment, and many more
Fill out the following form until October 1st: 2/
Please share!
1
0
6
@PanLiangming
Cool work! We showed something quite similar for fact-checking a while back:
Do automated fact-checking systems for combatting online misinformation have critical vulnerabilities? Check out our
#AAAI2022
paper: Synthetic Disinformation Attacks on Automated Fact Verification Systems (). Work with
@ABosselut
@chrmanning
@stanfordnlp
3
13
66
1
0
6
Check out the paper () for more details and more results, and play with the code at 9/
1
2
6
And if the advancements of the last year (ELMo, GPT, BERT, etc.) taught us anything, it's that task-specific models are very easy to overtake by task-agnostic generalizable approaches. So why do we insist on having these as contributions come review time?
1
0
6