Ryo Kamoi
@RyoKamoi
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#NLProc PhD student @PennStateEECS @RuiZhang_nlp. Trustworthy NLP. Prev: MS @UTCompSci, BE @Keio_ST, Intern @AmazonScience. @RyoKamoi_ja
State College, PA
Joined April 2017
📢 New survey on Self-Correction of LLMs! 😢 LLMs often cannot correct their mistakes by prompting themselves 😢 Many studies conduct unfair experiments 😃 We analyze requirements for self-correction🧵 @YusenZhangNLP @NanZhangNLP Jiawei Han @ruizhang_nlp
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RT @NanZhangNLP: Thanks @SFResearch for sharing our SiReRAG paper ( accepted by #ICLR2025! We proposed a RAG indexi…
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RT @vipul_1011: Wohhoo, our work got accepted at NAACL 2025! 🥳 TLDR: we built a methodology to improve reliability of any dataset by selec…
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RT @t_kitamura14: Our paper "Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form" got acce…
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RT @armancohan: Super excited to collaborate with @AIatMeta on advancing LLM evaluations in complex reasoning!
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RT @gregd_nlp: Huge congrats to @prasann_singhal for being one of the 8 CRA Outstanding Undergraduate Researcher Award winners! It has been…
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RT @gregd_nlp: I'll be at #NeurIPS2024 w/ - @fangcong_y10593's LoFiT: using interp to improve fine-tuning (Weds pm poster & MINT spotlight…
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VLMEvalKit now supports our VisOnlyQA dataset 🔥🔥🔥 VisOnlyQA reveals that even recent LVLMs like GPT-4o and Gemini 1.5 Pro stumble on simple visual perception questions, e.g., "What is the degree of angle AOD?"🧐
📢 New preprint! Do LVLMs have strong visual perception capabilities? Not quite yet... We introduce VisOnlyQA, a new dataset for evaluating the visual perception of LVLMs, but existing LVLMs perform poorly on our dataset. [1/n]
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VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception of Geometric Information Ryo Kamoi, Yusen Zhang, Sarkar Snigdha Sarathi Das, Ranran Haoran Zhang, Rui Zhang Paper: Data: Code:
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RT @AkariAsai: 🚨 I’m on the job market this year! 🚨 I’m completing my @uwcse Ph.D. (2025), where I identify and tackle key LLM limitations…
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This reading list is based on our survey paper. Don't forget to check it out as well 😉 When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs (TACL 2024)
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