Publication NI Sampling++: Optimizing Token Order for Fast Discrete Diffusion Sampling with Reinforcement Learning Enshu Liu, Theodore Zhengde Zhao, Xuefei Ning, Zinan Lin, Yu Wang 2026 COLM | December 2026
Publication Adopt ≠ Adapt: Longitudinal Analyses of LLM Conversations in the Wild Rebecca M. M. Hicke, Kiran Tomlinson EMNLP | October 2026
Publication Shiksha Copilot: Teacher-AI Collaboration for Curating and Customizing Lesson Plans in Low-Resource Schools Deepak Varuvel Dennison, Bakhtawar Ahtisham, Kavyansh Chourasia, Nirmit Arora, Rahul Singh, René F. Kizilcec, Akshay Nambi, Tanuja Ganu, Aditya Vashistha 2026 Conference on Computer-Supported Cooperative Work & Social Computing (CSCW) | October 2026 Honorable Mention Award at CSCW 2026
Publication Self-Evolving Curriculum for LLM Reasoning Xiaoyin Chen, Jiarui Lu, Minsu Kim, Dinghuai Zhang, Jian Tang, Alex Pich'e, Nicolas Gontier, Yoshua Bengio, Ehsan Kamalloo 2026 COLM | October 2026
Publication Think Right: Learning to Mitigate Under-Over Thinking via Adaptive, Attentive Compression Joykirat Singh, Justin Chih-Yao Chen, Archiki Prasad, Elias Stengel-Eskin, Akshay Nambi, Mohit Bansal 2026 COLM | October 2026
Publication After Organizational AI Acceptance, AI Bias Fades but a Junior Penalty Persists in Code Review Jenna Butler, Emerson Murphy-Hill, Constance Hadley, Alexa Tipton, Nancy Baym, Sankeerti Haniyur, Jina Suh 2026 Visual Languages and Human-Centric Computing | October 2026
Publication BlueCodeAgent: A Blue Teaming Agent Enabled by Automated Red Teaming for CodeGen AI Chengquan Guo, Yuzhou Nie, Chulin Xie, Zinan Lin, Wenbo Guo, Bo Li ICML 2026 | October 2026
Publication The Invisible Mentor: Inferring User Actions from Screen Recordings to Recommend Better Workflows Litao Yan, Andrew Head, K. Milne, Vu Le, Sumit Gulwani, Chris Parnin, Emerson Murphy-Hill CHI 2026 | September 2026
Publication LLM-42: Enabling Determinism in LLM Inference with Verified Speculation Raja Gond, Aditya K Kamath, Ramachandran Ramjee, Ashish Panwar 2026 Symposium on Operating Systems Principles | September 2026 Project
Publication SANDHI: Fine-grained Merging for Memory Efficient Multi-Model Serving Vima Gupta, Oytun Kuday Duran, Nandan Suresh Meda, Ikhyun An, Ganesh Ananthanarayanan, Anand Iyer