Papers
Deep, long-form breakdowns of recent research in AI, machine learning, security & programming languages.
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TokenCast: Forecasting Token Consumption During LLM Agent Execution
by Chaoqian Ouyang, Ling Yue, Libin Zheng, Huanghui Guo, Shengxiang Xu, YiShu Wang, Ran Li, Jian Yin, Shaowu Pan, Shimin Di
FinAutoRubric: Expert-Guided Automatic Rubric Generation for Evaluating Financial Research Agents
by Hoyoung Lee, Suyeol Yun, Jack Haverty, Yunju Cho, Meesong Kim, Daekyung Park, Sumin Kim, Jihoon Kwon, Jasmine Jia Geng, Andrew Chin, Yin Luo, Edward Tong, Yu Yu, Zach Golkhou, Minkyu Kim, Igor Halperin, Young Cha, Alejandro Lopez-Lira, Chanyeol Choi, Yongjae Lee
Shockingly Simple Self-retrospection Improves Agentic Models Without RL
by Jonathan Light, Christopher Zhang Cui, Jeonghye Kim, Roger Creus Castanyer, Emiliano Penaloza, Zhengyan Shi, Alessandro Sordoni, Marc-Alexandre Côté, Xingdi Yuan, Minseon Kim
Failure-Transparent Agents: Benchmarking Post-Failure Reporting in Tool-Using Language Models
by Junru Zhu, Shiming Xie, Aime Lu Fan Chen, Xiaoqing Ding, Chunxin Tang, Ruoyu Qi, Yulang Fei
AgentWorld: Benchmarking Long-Horizon Collaboration of Multi-agent LLMs
by Raphael Shu, Yusen Zhang, Young Min Cho, Jin Mo Yang, Yuan Yuan, Wenliang Zheng, Sharath Chandra Guntuku, Lyle Ungar, Zhou Yu, Rui Zhang
Learning to Stop without Learning to Stop: Self-Supervised Confidence Training Improves Reasoning Efficiency
by Parsa Hosseini, Akasha Tigalappanavara, Sumit Nawathe, Chenrui Fan, Sourya Basu, Genta Indra Winata, Anirban Das, Soheil Feizi, Nima Chitsazan
LLM Agents Can Easily Tamper With Their Own Traces
by Jeremy Qin, David Schmotz, Derck Prinzhorn, Luca Beurer-Kellner, Ameya Prabhu, Maksym Andriushchenko
AD-WM: Action-Discriminative World Models for Counterfactual Model Predictive Control
by Jiabin Qiu, Zixuan Chen, Hongye Cao, Jieqi Shi, Jing Huo, Yang Gao
Agentic Detection of Online Conspiracies
by Lior Biton, Oren Tsur
RAPID: Robot Agentic Programming from Demonstrations
by Yuyao Liu, Jiayuan Mao, David Hsu, Leslie Pack Kaelbling, Tomás Lozano-Pérez