🚨 Excited to announce TRAAC, an online difficulty-adaptive, attention-based method that handles the tradeoff of under & overthinking in reasoning models to improve both accuracy and efficiency. Underthinking ❌: Models terminate reasoning too early on harder problems, leading

Large reasoning models suffer from under-adaptiveness, which underthink on hard problems and overthink on easy ones. TRAAC addresses this by introducing ✨difficulty calibration and attention-based compression✨→ +8.4% accuracy & +36.8% efficiency! 1️⃣ TRAAC adaptively mitigates

🚨 "Think the right amount" for improving both reasoning accuracy and efficiency! --> Large reasoning models under-adapt = underthink on hard problems and overthink on easy ones --> ✨TRAAC✨ is an online RL, difficulty-adaptive, attention-based compression method that prunes

This fall, #UNC students will develop solutions to problems identified by U.S. federal agencies under the guidance of UNC Computer Science expert Neil Gaikwad. The project is part of the Diplomacy Lab, the Department of State’s strategic effort to engage citizens in diplomacy go.unc.edu/t6G9H

🚨 Check out our awesome students/postdocs' papers at #COLM2025 and say hi to them (several are on the job market or hiring) --> -- Archiki, David are on the post-PhD job market! -- Elias finished his postdoc & is now faculty at UT-Austin CS and looking to admit PhD students!

❗️Self-evolution is quietly pushing LLM agents off the rails. ⚠️ Even perfect alignment at deployment can gradually forget human alignment and shift toward self-serving strategies. Over time, LLM agents stop following values, imitate bad strategies, and even spread misaligned

✈️ Arrived at #COLM2025 where I'll be helping to present the following 4 papers. I'm also recruiting multiple PhD students for my new lab at UT Austin -- happy to chat about research, PhD applications, or postdoc openings in my former postdoc lab at UNC! -- Learning to Generate

Thanks for the shoutout! 🇨🇦I’ll be at #COLM2025 presenting two papers: GenerationPrograms (Attribution): Poster Session 4, Oct 8th, 4:30 PM QAPyramid (Summarization Eval): Poster Session 5, Oct 9th, 11:00 AM I’m also on the industry job market for research scientist roles.

I am attending #COLM2025 🇨🇦 this week to present our work on: Unit Test Generation: 📅 Oct 8th (Wed), 4:30 PM, #79 RAG with conflicting evidence: 📅 Oct 9th (Thu), 11 AM, #71 PS: I'm on the industry job market for RS roles, so you can reach me via DM or in-person to chat! 😄

Landed in Montreal 🇨🇦 for #COLM2025 to present my first-author work on task-conditioned mixed-precision quantization: “Task-Circuit Quantization” (Thursday 11am, Poster Session 5). I'm applying to PhD programs this cycle and am excited to chat about this or other interests (LLM

Excited to be at #COLM2025 🇨🇦 this week! I’ll be presenting our work on RAG with Conflicting Evidence at Poster Session 5 — Oct 9, 11:00 AM. Say hi if you’re around! Always up for chats about Knowledge Conflict, RAG, or all things LLM. 😃 Check this thread for details:

🚨 Thrilled to introduce Self-Improving Demonstrations (SID) for Goal-Oriented Vision-and-Language Navigation — a scalable paradigm where navigation agents learn to explore by teaching themselves. ➡️ Agents iteratively generate and learn from their own successful trajectories ➡️

We welcome Prof. Mohit Bansal (UNC Chapel Hill) as a keynote speaker at #CODS2025! Director of UNC’s MURGe-Lab, he works in multimodal generative models, reasoning agents & faithful language generation. He is an AAAI Fellow, PECASE and multiple best paper awardee.

Excited to share our latest work — Self-Improving Demonstrations (SID) 🎯 A new paradigm for Goal-Oriented VLN where agents teach themselves through exploration — no human demos needed, yet surpassing shortest-path supervision! Thrilled by what this means for scalable embodied

APPLY: TENURE-TRACK/DISTINGUISHED/TEACHING FACULTY. Research areas include but not limited to: Medical Imaging, Algorithms, Bioinformatics, Computational Biology, AI, Graphics, AR/VR, robotics, visualization, RT systems, and security. ➡️cs.unc.edu/faculty-hiring/ #UNC UNC College of Arts and Sciences

Congrats to the seven winners of the 2025 UNC-Chapel Hill Distinguished Alumni Awards. 🎉 This year’s awards honor several College of Arts and Sciences graduates, including U.S. Navy rear admiral Kristin Acquavella ’93 and Emmy-winning comedian Lewis Black ’70 go.unc.edu/Wb3j2

🚨 New Paper Alert! Introducing SciVideoBench — a comprehensive benchmark for scientific video reasoning! 🔬SciVideoBench: 1. Spans Physics, Chemistry, Biology & Medicine with authentic experimental videos. 2. Features 1,000 challenging MCQs across three reasoning types:

How can an agent reverse engineer the underlying laws of an unknown, hostile & stochastic environment in “one life”, without millions of steps + human-provided goals / rewards? In our work, we: 1️⃣ infer an executable symbolic world model (a probabilistic program capturing

🚨 Excited to share our new work ✨ OneLife ✨, which investigates how an agent can infer executable symbolic world models 🌐 from a single unguided trajectory in a stochastic environment. I’m especially excited about our planning + evaluation contributions: 1️⃣ We support

🚨 Excited to announce "One Life to Learn: Inferring Symbolic World Models for Stochastic Environments from Unguided Exploration" --> (1) Our agent can infer/reverse engineer the laws of an unknown, stochastic environment from a single, unguided episode -- without requiring