Atin Pothiraj @AtinPothiraj
UG Research Assistant @ MURGe-Lab w/ @mohitban47. Joined July 2024-
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Atin Pothiraj retweeted
📢 Introducing RotBench, which tests whether SoTA MLLMs (e.g., GPT-5, GPT-4o, o3, Gemini-2.5-pro) can identify the rotation of input images (0°, 90°, 180°, and 270°). Even frontier MLLMs struggle at this spatial reasoning task that humans solve with >98% Acc. ➡️ Models struggle…
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Atin Pothiraj retweeted
🎉 Excited to share that TaCQ (Task-Circuit Quantization), our work on knowledge-informed mixed-precision quantization, has been accepted to #COLM2025 @COLM_conf! Happy to see that TaCQ was recognized with high scores and a nice shoutout from the AC – big thanks to @EliasEskin…
🎉 Excited to share that TaCQ (Task-Circuit Quantization), our work on knowledge-informed mixed-precision quantization, has been accepted to #COLM2025 @COLM_conf! Happy to see that TaCQ was recognized with high scores and a nice shoutout from the AC – big thanks to @EliasEskin…
Atin Pothiraj retweeted
Sharing some personal updates 🥳: - I've completed my PhD at @unccs! 🎓 - Starting Fall 2026, I'll be joining the Computer Science dept. at Johns Hopkins University (@JHUCompSci) as an Assistant Professor 💙 - Currently exploring options + finalizing the plan for my gap year (Aug…
Atin Pothiraj retweeted
Extremely excited to announce that I will be joining @UTAustin @UTCompSci in August 2025 as an Assistant Professor! 🎉 I’m looking forward to continuing to develop AI agents that interact/communicate with people, each other, and the multimodal world. I’ll be recruiting PhD…
Atin Pothiraj retweeted
✈️ Heading to #NAACL2025 to present 3 main conf. papers, covering training LLMs to balance accepting and rejecting persuasion, multi-agent refinement for more faithful generation, and adaptively addressing varying knowledge conflict. Reach out if you want to chat! 📆 Wed. 04/30…
Atin Pothiraj retweeted
Excited to share my first paper as first author: "Task-Circuit Quantization” 🎉 I led this work to explore how interpretability insights can drive smarter model compression. Big thank you to @EliasEskin, @yilin_sung, and @mohitban47 for mentorship and collaboration. More to come!
Excited to share my first paper as first author: "Task-Circuit Quantization” 🎉 I led this work to explore how interpretability insights can drive smarter model compression. Big thank you to @EliasEskin, @yilin_sung, and @mohitban47 for mentorship and collaboration. More to come!
Check out my first paper 🚨CAPTURe🚨 a new benchmark for testing spatial reasoning in VLMs, asking VLMs to count objects in occluded patterns. Huge thanks to @EliasEskin @jmin__cho @mohitban47 for mentoring and helping me through the entire project. Excited for what's next!
Check out my first paper 🚨CAPTURe🚨 a new benchmark for testing spatial reasoning in VLMs, asking VLMs to count objects in occluded patterns. Huge thanks to @EliasEskin @jmin__cho @mohitban47 for mentoring and helping me through the entire project. Excited for what's next!
Atin Pothiraj retweeted
Check out 🚨CAPTURe🚨 -- a new benchmark and task testing spatial reasoning by making VLMs count objects under occlusion. Key Takeaways: ➡️ SOTA VLMs (GPT-4o, Qwen2-VL, Intern-VL2) have high error rates on CAPTURe (but humans get very low error ✅) and models struggle to reason…
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