Papers
Deep, long-form breakdowns of recent research in AI, machine learning, security & programming languages.
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RetireOPD: Self-Retiring On-Policy Distillation for Agentic Reinforcement Learning
by Yan Yu, Zhengxi Lu, Yizhou Liu, Yichen Pan, Aozhe Wang, Qipeng Chen, Hua Yang, Wenqi Zhang, Weiming Lu, Qianglong Chen, Yongliang Shen
RAFT: A Stateful Retrieval-Augmented Framework for Troubleshooting Agents
by Mingxuan Zhang, Xiaowen Wang, Anupma Sharan, Zhengyi Chen, Chenyu Diana Zhang, Shanshan Yang, Chittibabu Pacharu
Q&A on Any Spreadsheet Requires Interpreting Its Grid Structure
by Zofia Smoleń
Deep Noir: Autonomous Steering Discovery via Architectural Chronometry in Transformer Models
by Frank E. Bobe III, Gregory D. Vetaw, Darshan W. Bryner, Matthew G. Cook, Jose L. Salas-Vernis
Large Language Models as Falsifiers for Cyber-Physical Systems
by Ali ArjomandBigdeli, Jiawei Zhou, Stanley Bak
Summarization Bias: The Directional Collapse of Objective Projection into Told-Mode Labels in Large Language Models --- A Conceptual Framework and Registered Test Protocol
by Levent Bulut
Should This Case Be Adapted? Prediction Fragmentation Controls Test-Time Adaptation
by Lili Wang, Jing Li, Xiaowen Sun, Xiangyu Hu, Zhuangzhuang Gu, Jian Liu, Srihari Nelakuditi, Yan Tong
A Zeroth-Order Paradigm for LLM Preference Alignment
by Peter Chen, Xi Chen, Wotao Yin, Tianyi Lin
Dreaming the Sound of Contact: Leveraging Video and Audio Generation for Zero-Shot Force-Aware Manipulation and Data Generation
by Guanhua Ji, Tianyu Li, Dayoon Suh, Yuqian Zhang, Boyan Zhang, Nadia Figueroa
Cognitive Extensions for Dual-Process Language Agents: Memory and Self-Reflection in Interactive Environments
by João Meneses dos Santos, Arlindo L. Oliveira