Thinh @thinhphp_vt
PhD student @VT_CS, supervised by @tuvllms. Interested in search-augmented LLMs. Ex AI resident @VinAI_Research thinhphp.github.io Blacksburg, VA Joined July 2023-
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New paper! We explore a radical paradigm for AI evals: assessing LLMs on *unsolved* questions. Instead of contrived exams where progress ≠ value, we eval LLMs on organic, unsolved problems via reference-free LLM validation & community verification. LLMs solved ~10/500 so far:
DeepSeek achieved a strong result on SEAL0, a challenging benchmark for reasoning with conflicting search results. 🎊
DeepSeek achieved a strong result on SEAL0, a challenging benchmark for reasoning with conflicting search results. 🎊
Excited to share that our paper on efficient model development has been accepted to #EMNLP2025 Main conference @emnlpmeeting. Congratulations to my students @linusdd44804 and @Sub_RBala on their first PhD paper! 🎉
Excited to share that our paper on efficient model development has been accepted to #EMNLP2025 Main conference @emnlpmeeting. Congratulations to my students @linusdd44804 and @Sub_RBala on their first PhD paper! 🎉
A few weeks ago, I started a new job at @OpenAI. I wrote a document about my interview process and recommendations for anyone on the job market for AI research positions. I hope it's helpful! docs.google.com/document/d/1ZV…
1/n I’m thrilled to share that our @OpenAI reasoning system scored high enough to achieve gold 🥇🥇 in one of the world’s top programming competitions - the 2025 International Olympiad in Informatics (IOI) - placing first among AI participants! 👨💻👨💻
Most search models need the cloud. II-Search-4B doesn’t. 4B model tuned for reasoning with search tools, built for local use. Performance of models 10x its size. Search that is small, smart, and open.
🥳Congrats @ii_posts for an impressive result on SEAL-0, a challenging benchmark for search-augmented LLMs. 🤩Looking forward to the evaluation standards it shapes in this field. 📚Read more: arxiv.org/abs/2506.01062
🥳Congrats @ii_posts for an impressive result on SEAL-0, a challenging benchmark for search-augmented LLMs. 🤩Looking forward to the evaluation standards it shapes in this field. 📚Read more: arxiv.org/abs/2506.01062
. @EMostaque came back on the show to chat about: --how we can't compete against AI agents --his solution for a POSITIVE AI world --Why UBI won't work but UBAI might.. --we need to be focused on incentivizing the right outcomes -- Nations need sovereign AI stacks or…
We just released the evaluation of LLMs on the 2025 IMO on MathArena! Gemini scores best, but is still unlikely to achieve the bronze medal with its 31% score (13/42). 🧵(1/4)
We just evaluated Grok 4 on our SEAL-0 dataset 👍Try it: huggingface.co/datasets/vtllm…
Tokenization has been the final barrier to truly end-to-end language models. We developed the H-Net: a hierarchical network that replaces tokenization with a dynamic chunking process directly inside the model, automatically discovering and operating over meaningful units of data
🔥 SEAL-0 Leaderboard 📈 Our results on SEAL-0 show a large room for improvement in LLMs' ability to reason over conflicting evidence. 🤯 👉Checkout our paper: arxiv.org/abs/2506.01062 👉Dataset: huggingface.co/datasets/vtllm…
My first work done during my PhD 🥳🥳🥳
My first work done during my PhD 🥳🥳🥳
✨ New paper ✨ 🚨 Scaling test-time compute can lead to inverse or flattened scaling!! We introduce SealQA, a new challenge benchmark w/ questions that trigger conflicting, ambiguous, or unhelpful web search results. Key takeaways: ➡️ Frontier LLMs struggle on Seal-0 (SealQA’s…
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