Ryo Kamoi
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ryokamoi.bsky.social
Ryo Kamoi
@ryokamoi.bsky.social
#NLProc PhD Student at Penn State. Prev: MS at UT Austin, BE at Keio Univ, Intern at Microsoft OAR and Amazon Alexa.
https://ryokamoi.github.io/
Pinned
Our paper VisOnlyQA has been accepted to
@colmweb.org #COLM2025! See you in Montreal🍁
We find that even recent Vision Language Models struggle with simple questions about geometric properties in images, such as "What is the degree of angle AOD?"🧐
arxiv.org/abs/2412.00947
bsky.app/profile/ryok...
Our paper VisOnlyQA has been accepted to
@colmweb.org #COLM2025! See you in Montreal🍁
We find that even recent Vision Language Models struggle with simple questions about geometric properties in images, such as "What is the degree of angle AOD?"🧐
arxiv.org/abs/2412.00947
bsky.app/profile/ryok...
July 13, 2025 at 7:05 PM
Excited to share that Communications of the ACM featured an article that includes an interview with me about LLM self-correction! I mainly discuss self-correction before o1, but I believe it still offers some takeaways.
cacm.acm.org/news/self-co...
arxiv.org/abs/2406.01297
March 6, 2025 at 2:26 PM
VLMEvalKit now supports our VisOnlyQA dataset 🔥🔥🔥
github.com/open-compass...

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?"🧐
arxiv.org/abs/2412.00947
December 6, 2024 at 3:38 PM
📢 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]
arxiv.org/abs/2412.00947
github.com/psunlpgroup/...
December 4, 2024 at 7:05 PM
Reposted by Ryo Kamoi
I’m on the academic job market this year! I’m completing my @uwcse.bsky.social @uwnlp.bsky.social Ph.D. (2025), focusing on overcoming LLM limitations like hallucinations, by building new LMs.
My Ph.D. work focuses on Retrieval-Augmented LMs to create more reliable AI systems 🧵
December 4, 2024 at 1:26 PM
Curious about LLM self-correction? Check out our reading list!
📚 github.com/ryokamoi/llm...

We feature papers & blogs in
* Key self-correction papers
* Negative results in self-correction
* Projects inspired by OpenAI o1
GitHub - ryokamoi/llm-self-correction-papers: Papers on Self-Correction of LLMs
Papers on Self-Correction of LLMs. Contribute to ryokamoi/llm-self-correction-papers development by creating an account on GitHub.
github.com
November 29, 2024 at 9:27 PM
Reposted by Ryo Kamoi
A starter pack for the NLP and Computational Linguistics researchers at UT Austin!
go.bsky.app/75g9JLT
NLP at UT Austin
Join the conversation
go.bsky.app
November 22, 2024 at 5:18 PM
Reposted by Ryo Kamoi
We at UT Linguistics are hiring for 🔥 2 faculty positions in Computational Linguistics! Assistant or Associate professors, deadline Dec 1.
UT has a super vibrant comp ling & #nlp community!!

Apply here 👉 apply.interfolio.com/158280
November 19, 2024 at 10:45 PM
Hello Bluesky. It was great to talk with so many people at
#EMNLP2024!
The paper we presented, a survey paper on self-correction of LLMs, is now on MIT Press!

When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs (TACL 2024)
direct.mit.edu/tacl/article...
When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs
Abstract. Self-correction is an approach to improving responses from large language models (LLMs) by refining the responses using LLMs during inference. Prior work has proposed various self-correction...
direct.mit.edu
November 19, 2024 at 3:10 PM