Pascale Fung Profile Banner
Pascale Fung Profile
Pascale Fung

@pascalefung

Followers
2,545
Following
47
Media
21
Statuses
119

Chair Professor of ECE, Director of the Centre for AI Research (CAiRE), Hong Kong University of Science & Technology. Fellow of AAAI, ACL, IEEE, ISCA.

Hong Kong
Joined August 2010
Don't wanna be here? Send us removal request.
Explore trending content on Musk Viewer
@pascalefung
Pascale Fung
2 months
We always knew that Chomsky was wrong about language models, it’s nice to have a paper showing you just how wrong he was! #ACL2024 best papsr.
28
177
985
@pascalefung
Pascale Fung
10 months
Congratulations @ylecun for the order of the Chevalier de la Légion d’Honneur
7
93
683
@pascalefung
Pascale Fung
11 months
“Machine learning sucks!” Keynote by @ylecun at the AI Symposium: New Horizons 2023 at the Asia Society in Hong Kong.
Tweet media one
19
68
420
@pascalefung
Pascale Fung
2 months
#ACL2024 was great. But very few papers were asking hard scientific questions. A lot of “LLM engineering”. In particular, university labs should really defocus on this type of engineering as industry labs, though not publishing every minute detail, are doing way more advanced
4
36
273
@pascalefung
Pascale Fung
10 months
I told President @EmmanuelMacron that I started my AI research career from a small project on automatic speech recognition at #EcoleCentraleParis when I was a student.
Tweet media one
Tweet media two
6
10
206
@pascalefung
Pascale Fung
11 months
I have long hoped to bring top US and China AI researchers together for a scientific exchange. This finally happened with @ylecun , Harry Shum, Feng Junlan (chief AI scientist, China Mobile), Li Hang (Head of Research Bytedance) and Zhou Jingren (CTO of Alibaba Cloud)
Tweet media one
8
24
149
@pascalefung
Pascale Fung
7 months
Do humans need language for #reasoning and #planning ? It really depends. We “reasons and plan” a lot of physical and artistic activities without thinking in language (eg dance, swimming, painting, playing an instrument…) but language helps us teach/learn how to do them.
17
8
104
@pascalefung
Pascale Fung
2 months
The keynote speaker talked for about an hour but cut me off after 10 seconds of my question. If you can’t take a question don’t give a keynote! #ACL2024
5
5
77
@pascalefung
Pascale Fung
2 months
Excellent #acl2024 keynote by Barbara Plank on how to work with the inherent (and beautiful) variation in languages that leads to uncertainty in LLMs and other AI models. Exactly what NLP needs to hear.
Tweet media one
Tweet media two
Tweet media three
1
6
55
@pascalefung
Pascale Fung
10 days
So this paper got a 1 from a reviewer from #EMNLP - never gotten a 1 before ever, and is rejected. So I am sharing its arxiv version for feedback. I did get a bunch when I shared it with people in person before. TIA.
7
11
110
@pascalefung
Pascale Fung
11 months
Prof. Yann LeCun @ylecun getting his Doctor of Engineering honoris causa from the Hong Kong University of Science and Technology #HKUST
Tweet media one
1
0
47
@pascalefung
Pascale Fung
2 months
It’s 2024, NLP people need to work on the phenomenon of language as manifested in LLMs and other AI models - so that we can make scientific progress - instead of *still* being on the bandwagon of shitting on AGI/LLM endlessly. It’s boring. #acl2024
1
2
40
@pascalefung
Pascale Fung
9 months
@ylecun Fire reduced humanity’s ability to digest raw meat!
4
0
37
@pascalefung
Pascale Fung
11 months
We got two awards at #AACL 2023 - for the ChatGPT benchmarking paper and the Nusawrites Indonesian language resources paper. Congratulations to all co-authors.
Tweet media one
Tweet media two
3
2
30
@pascalefung
Pascale Fung
11 months
For PhD students to avoid becoming just GPT app developers, you need to ask not just « what » you are building but « why » you are doing it. Ask « why » at least every 3 months.
0
6
24
@pascalefung
Pascale Fung
7 months
Can LLM reason? Here are benchmarking results on ChatGPT from Feb 2023. Paper here #aaai2024 panel
Tweet media one
3
8
23
@pascalefung
Pascale Fung
11 months
2018 @Bandong -2023 @Bali . Realising the dream of #Indonesian #NLP . #aacl2023
Tweet media one
Tweet media two
0
0
17
@pascalefung
Pascale Fung
4 months
Natural language processing became natural language engineering in the 90s. Now that LLMs can engineer any NLP task by scaling, natural language processing needs to become a science of modelling cognition and metacognition via language.
0
4
17
@pascalefung
Pascale Fung
7 months
Got attacked by a man for not citing enough women authors in my keynote on hallucination at #aaai2024 #Realaaai showing that alignment tax is not just a problem for GenAI but humans as well. Photo by @FrancescaRossi_
Tweet media one
0
0
14
@pascalefung
Pascale Fung
6 months
LLMs have learned human values. Ever wonder how value distributions differ between LLMs? Do ChatGPT and Llama have the same values in English, French, etc.? Are Asian values closer to each other than with Western values? Look for the "value maps".
1
1
13
@pascalefung
Pascale Fung
9 months
A number of us from #hkust are among the AI top 100 contributors of 2023 by an automatic metric by Bench Council. HKUST and Tsinghua are the top 2 from China. (This is a metric based on publications and citations, not social media or media influence.)
0
2
12
@pascalefung
Pascale Fung
9 months
Very humbled to be on the same list as Nobel Laureate Tu You You and Kylie Minogue. #forbeswomen #ForbesOver50 #ForbesAsia
2
1
11
@pascalefung
Pascale Fung
4 years
Our research team has published a question answering engine with abstractive summarization from the dataset of CoVID 19 publications. It shows two versions of abstracts generated by deep learning models and a top 10 snippets that answer the question.
1
3
10
@pascalefung
Pascale Fung
11 months
To eliminate any human intention, I generated this from an AI model by prompting with a random string of keyboard strokes. So this is pure #AIart it is breathtakingly beautiful, reminiscent of 60s psychedelic pop art and Vasarely but not from any artist in particular.
Tweet media one
0
2
11
@pascalefung
Pascale Fung
11 months
GenAI tools trained on content cannot generate anything without a human creator prompting them to do so. So AI art is the fruit of human creation as much as digital art or photography art and for that matter, human artists who learned their craft from prior work.
0
0
10
@pascalefung
Pascale Fung
7 months
The problem with these images is due to “alignment tax” - when a model has been trained to align with multiple objectives it becomes hard to balance between them. For example here is an apparent conflict between “diversity” and “faithfulness”. It is a hard optimisation problem.
@mmitchell_ai
MMitchell
7 months
I really love the active discussion abt the role of ethics in AI, spurred by Google Gemini's text-to-image launch & its relative lack of white representation. As one of the most experienced AI ethics people in the world (>4 years! ha), let me help explain what's going on a bit.
Tweet media one
34
189
823
0
4
9
@pascalefung
Pascale Fung
10 months
@ednewtonrex AI does not create anything without human prompts. The creation of an artist using AI is not different in essence from that of digital art or photographic art which are also scalable. There is nothing “copied” by AI art as there is nothing “copied” by photographic or digital art.
1
0
9
@pascalefung
Pascale Fung
10 months
Chinese labs and companies are open souring their LLMs, following the lead of their counterparts in the US. #OpenScience #AIgovernance #AIcollaboration
Tweet media one
Tweet media two
2
0
8
@pascalefung
Pascale Fung
10 months
@ednewtonrex Regulations need to be designed by those humble enough to study the current technology. You cannot regulate what you don’t understand with any wisdom.
0
0
7
@pascalefung
Pascale Fung
4 years
This is a research project on not just this topic but other medical research domains as well. Our system is on Kaggle. Please check it out and VOTE!
0
1
8
@pascalefung
Pascale Fung
10 months
Yoshua Bengio’s talk and Q and A on the necessity of AI safety via governance, Bayesian estimation of uncertain and risks, and quantitative harm prevention at #HKUST
Tweet media one
Tweet media two
0
0
6
@pascalefung
Pascale Fung
11 months
Following the effort of building Indonesian NLP dataset and benchmarks #Nusacrowd #Nusawrites #NusaX , our team is calling for contributions to South East Asian language dataset #Seacrowd #LLM for all #AI for all.
0
2
7
@pascalefung
Pascale Fung
5 months
“techbro” is a sexist term invented by lazy journalists. Now they keep using this term to describe the AI community and basically deleting all the women in AI. If you are not ignorant do not use this term.
0
0
7
@pascalefung
Pascale Fung
10 months
#responsibleAI should be practiced by every research group big or small. We absolutely need to hold people accountable for the accessibility of their datasets and code and ensure reproducibility before we give out any paper award, if not every publication.
0
1
7
@pascalefung
Pascale Fung
7 months
#OpenAI should just change its name. It’s starting to sound like sarcasm - and humanity is the butt of the joke.
0
0
6
@pascalefung
Pascale Fung
10 months
AI reporting in the media is a sort of autoregressive generator feeding on its own previous reporting - and it surely hallucinates A LOT!
2
0
5
@pascalefung
Pascale Fung
2 months
@burkov Because it is not binary - pattern matching can lead to reasoning in some scenarios, just like humans do.
0
0
5
@pascalefung
Pascale Fung
8 months
Need a semantic benchmark for Sora and the like. A beautiful and dynamic video of stuff counter to the laws of physics (like that of the shattering glass) is no use. It’s just beautiful hallucination. They must be doing RLHF on Sora now?
0
0
5
@pascalefung
Pascale Fung
11 months
Most image generation tools are built by engineers who are accustomed to tasks like video captioning and object recognition. This is NOT what artists need for creative work. In fact artists are currently creating work within the constraints of these very limiting tools.
0
1
4
@pascalefung
Pascale Fung
9 months
@ylecun C obviously and depending on the audience size it is disseminated to. Just follow current copyright laws. Art students routinely copy the grand masters in their studies, nobody calls that copyright infringement.
1
0
3
@pascalefung
Pascale Fung
7 years
Female-Led Tech Start-Ups Employ More Women Than Larger Companies
1
1
4
@pascalefung
Pascale Fung
10 months
@petergyang This was the title Bell Labs gave to people. It was extremely prestigious to be part of Bell Labs. OpenAI is no way close yet.
0
0
4
@pascalefung
Pascale Fung
11 months
@kaushik_himself @ylecun @sama @gdb OpenAI couldn’t have done it without the open-sourced Transformer and many models from Google Meta etc before them. It’s like pulling up the ladder after you have climbed up.
3
0
4
@pascalefung
Pascale Fung
7 months
Google, as well as Meta and OpenAI, among others, have large teams of people dedicated to ethics and responsible AI. There is currently no tractable solution to avoid all errors (can any human claim to be ethically perfect?) but the research community will keep trying.
@pascalefung
Pascale Fung
7 months
The problem with these images is due to “alignment tax” - when a model has been trained to align with multiple objectives it becomes hard to balance between them. For example here is an apparent conflict between “diversity” and “faithfulness”. It is a hard optimisation problem.
0
4
9
0
0
4
@pascalefung
Pascale Fung
7 months
Do humans need language for #reasoning and #planning ? It really depends. We “reasons and plan” a lot of physical and artistic activities without thinking in language (eg dance, swimming, painting, playing an instrument…) but language helps us learn to do them faster.
@ylecun
Yann LeCun
7 months
To people who claim that "thinking and reasoning require language", here is a problem: Imagine standing at the North Pole of the Earth. Walk in any direction, in a straight line, for 1 km. Now turn 90 degrees to the left. Walk for as long as it takes to pass your starting point.
801
242
2K
0
0
3
@pascalefung
Pascale Fung
9 months
@ylecun And anyone “infringing copyrights” in private going through a platform cannot be sued although the platform can detect and prevent dissemnination.
0
0
0
@pascalefung
Pascale Fung
11 months
@deliprao NN does not learn rules. Before NN, there were statistical AI that learned probabilistic rules automatically. •Rule based systems” are those that are based on manual rules by people. People are very good at pattern recognition but absolutely terrible at coming up with rules!
1
0
3
@pascalefung
Pascale Fung
11 months
@DrJimFan @ylecun I agree with @DrJimFan . However I also with the design of this imperfect benchmark with all the caveats. (1) It is impossible to evaluate extrinsic hallucinations so summarisation is a good task as a proxy for intrinsic hallucination evaluation.
0
0
3
@pascalefung
Pascale Fung
1 year
It was fun working on this project.
@AIatMeta
AI at Meta
1 year
Today we're announcing a new privacy-preserving approach to improve fairness & robustness of automatic speech recognition systems. This unique approach lets researchers improve ASR performance without relying on demographic data. More info ⬇️
7
41
167
0
0
3
@pascalefung
Pascale Fung
11 months
Following the earlier #ChatGPT (Nov22) bench marking paper we published in February, we bench marked #GPT4 on some of the same sets.
Tweet media one
Tweet media two
0
0
2
@pascalefung
Pascale Fung
9 months
There are many greater achievements than our papers in 2023. Google and Meta are the top 2. (OpenAI doesn’t publish much.) US is number 1 with China at number 2.
@pascalefung
Pascale Fung
9 months
A number of us from #hkust are among the AI top 100 contributors of 2023 by an automatic metric by Bench Council. HKUST and Tsinghua are the top 2 from China. (This is a metric based on publications and citations, not social media or media influence.)
0
2
12
0
0
2
@pascalefung
Pascale Fung
11 months
@ylecun @cwizprod1 @harryshum This is because the apocalypse and doomsday scenario is very much a Christien religious thing influencing western thinking,
0
0
1
@pascalefung
Pascale Fung
10 months
What is the meaning of “a world class prompt engineer”? Who certifies one as “world class” and what qualifies one as a “prompt engineer”? (I am not dismissing the importance of #prompts . )
2
1
2
@pascalefung
Pascale Fung
7 months
Representation by pixels in images never made much sense. What about subobject representation like subwords in NLP? They contains more semantic information than pixels.
@Delong0_0
Delong Chen (陈德龙)
7 months
Thanks @_akhaliq for sharing!
1
5
22
1
0
2
@pascalefung
Pascale Fung
11 months
@DrJimFan @ylecun 2) I would not get too attached to the absolute performance scores but the relative performance is probably credible. Leaderboards and benchmarks are good for comparing models.
0
0
2
@pascalefung
Pascale Fung
10 days
The Jedi Council on Reasoning - a panel with @YejinChoinka Ernest Davis @rao2z moderated by @murraycampbell .
Tweet media one
1
0
4
@pascalefung
Pascale Fung
9 months
@_TechyBen @ylecun I posted that as sarcasm in response to those who say AI is taking away our humanity.
1
0
2
@pascalefung
Pascale Fung
7 months
@Liv_Boeree That’s a weird classification. Did you come up with that yourself? Most people working on AI safety are motivated by AI ethics. Without ethics there is no principled way of implementing AI safety.
1
0
2
@pascalefung
Pascale Fung
11 months
@ednewtonrex GenAI tools trained on content cannot generate anything without a human creator prompting them to do so. So AI art is the fruit of human creation as much as digital art or photography art and for that matter, human artists who learned their craft from prior work.
0
0
1
@pascalefung
Pascale Fung
2 months
0
0
2
@pascalefung
Pascale Fung
10 months
@neilturkewitz @ednewtonrex The issue is that the people sitting at the top of the bureaucracy are probably not the people who have the wisdom and knowledge to provide such oversight for a technology that will have this much impact.
1
1
2
@pascalefung
Pascale Fung
2 months
@gerardsans If he didn’t cut me off I would have finished my question in 1 minute. I would have asked him to elaborate on his thesis on why LLM cannot plan well. Instead he went on a tangent about paper reviews etc like a defensive student. His talk was disrespectful of a scientific audience
0
0
1
@pascalefung
Pascale Fung
8 months
@ziqi_huang_ This is a video quality evaluation. What’s important is semantic evaluation. A beautiful video portraying things counter to physics is no good.
0
0
1
@pascalefung
Pascale Fung
2 months
@gjzhang1 There are many scientific questions to ask. If you want to work on LLM then ask why do LLMs work or does not work in X or Y? How can we benchmark and improve different aspects of machine intelligence - reasoning, planning, world modeling etc? In NLP how is language being
2
1
1
@pascalefung
Pascale Fung
10 months
@zhang_yueting @ylecun We actually don’t know how little kids learn languages.
0
0
0
@pascalefung
Pascale Fung
7 months
Professional cinematographers are looking at new videos from Sora and breathing a sign of relief - there is only so much you can do prompting when you are untrained. Same story with image generators. The beauty and the creativity still need to come from humans prompting.
0
0
1
@pascalefung
Pascale Fung
10 months
@lateinteraction RAG alone cannot solve the hallucination problem and is not even a guarantee to improve the outcome. Multiple retrieved facts together can still be generated in an incoherent way. Just try Bing. 2/2
0
0
1
@pascalefung
Pascale Fung
7 years
@ZeerakW I think facial features alone are not adequate, just like audio features alone are not.
0
0
1
@pascalefung
Pascale Fung
10 months
@Ginnung93 @neilturkewitz @ednewtonrex The “many many years” is also the problem. The technology is moving monthly.
0
0
0
@pascalefung
Pascale Fung
7 years
@ZeerakW To do a good job the system needs to work with psychometricians to come up with non-bias-inducing yet informative interview questions.
0
1
1
@pascalefung
Pascale Fung
2 months
@adawan919 I strongly that we need better benchmarking and better understanding of how they work. And how to do that would have been a scientific discussion.
1
0
1
@pascalefung
Pascale Fung
7 years
@ZeerakW There is always a danger that if the system is trained on existing database of current high performers it will learn the bias as well.
0
0
1
@pascalefung
Pascale Fung
11 months
@ednewtonrex Should we ban photography and digital art too while we are at it?
0
0
0
@pascalefung
Pascale Fung
7 years
@ZeerakW The system then needs to learn to extract the relevant features automatically.
0
0
1
@pascalefung
Pascale Fung
2 months
@ChujieZheng I understand that but how about for every paper submission optimised for acceptance also submit 1 or more that is more scientific?
0
0
1
@pascalefung
Pascale Fung
2 months
@meng8131 But more impactful.
1
0
1
@pascalefung
Pascale Fung
7 months
@cocoweixu @mmitchell_ai @mlatgt @ICatGT @gtcomputing @alan_ritter @tareknaous @michaelryan207 Nice work. But “western values” are not monolithic either. Witness the latest move by the French to incorporate abortion rights into their constitution. Happy International Women’s Day!
0
0
1