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Academic · 1 min

How Uncertain Is the Grade? A Benchmark of Uncertainty Metrics for LLM-Based Automatic Assessment

arXiv:2602.16039v1 Announce Type: new Abstract: The rapid rise of large language models (LLMs) is reshaping the landscape of automatic assessment in education. While these systems …

Hang Li, Kaiqi Yang, Xianxuan Long, Fedor Filippov, Yucheng Chu, Yasemin Copur-Gencturk, Peng He, Cory Miller, Namsoo Shin, Joseph Krajcik, Hui Liu, Jiliang Tang

7 views Feb 23

Academic · 1 min

Evidence-Grounded Subspecialty Reasoning: Evaluating a Curated Clinical Intelligence Layer on the 2025 Endocrinology Board-Style Examination

arXiv:2602.16050v1 Announce Type: new Abstract: Background: Large language models have demonstrated strong performance on general medical examinations, but subspecialty clinical reasoning remains challenging due to …

Amir Hosseinian, MohammadReza Zare Shahneh, Umer Mansoor, Gilbert Szeto, Kirill Karlin, Nima Aghaeepour

6 views Feb 23

Academic · 1 min

Improving Interactive In-Context Learning from Natural Language Feedback

arXiv:2602.16066v1 Announce Type: new Abstract: Adapting one's thought process based on corrective feedback is an essential ability in human learning, particularly in collaborative settings. In …

Martin Klissarov, Jonathan Cook, Diego Antognini, Hao Sun, Jingling Li, Natasha Jaques, Claudiu Musat, Edward Grefenstette

6 views Feb 23

Academic · 1 min

GPSBench: Do Large Language Models Understand GPS Coordinates?

arXiv:2602.16105v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly deployed in applications that interact with the physical world, such as navigation, robotics, or …

Thinh Hung Truong, Jey Han Lau, Jianzhong Qi

7 views Feb 23

Academic · 1 min

Learning Personalized Agents from Human Feedback

arXiv:2602.16173v1 Announce Type: new Abstract: Modern AI agents are powerful but often fail to align with the idiosyncratic, evolving preferences of individual users. Prior approaches …

Kaiqu Liang, Julia Kruk, Shengyi Qian, Xianjun Yang, Shengjie Bi, Yuanshun Yao, Shaoliang Nie, Mingyang Zhang, Lijuan Liu, Jaime Fern\'andez Fisac, Shuyan Zhou, Saghar Hosseini

7 views Feb 23

Academic · 1 min

EnterpriseGym Corecraft: Training Generalizable Agents on High-Fidelity RL Environments

arXiv:2602.16179v1 Announce Type: new Abstract: We show that training AI agents on high-fidelity reinforcement learning environments produces capabilities that generalize beyond the training distribution. We …

Sushant Mehta, Logan Ritchie, Suhaas Garre, Nick Heiner, Edwin Chen

7 views Feb 23

Academic · 1 min

Revolutionizing Long-Term Memory in AI: New Horizons with High-Capacity and High-Speed Storage

arXiv:2602.16192v1 Announce Type: new Abstract: Driven by our mission of "uplifting the world with memory," this paper explores the design concept of "memory" that is …

Hiroaki Yamanaka, Daisuke Miyashita, Takashi Toi, Asuka Maki, Taiga Ikeda, Jun Deguchi

5 views Feb 23

Academic · 1 min

Toward Scalable Verifiable Reward: Proxy State-Based Evaluation for Multi-turn Tool-Calling LLM Agents

arXiv:2602.16246v1 Announce Type: new Abstract: Interactive large language model (LLM) agents operating via multi-turn dialogue and multi-step tool calling are increasingly used in production. Benchmarks …

Yun-Shiuan Chuang, Chaitanya Kulkarni, Alec Chiu, Avinash Thangali, Zijie Pan, Shivani Shekhar, Yirou Ge, Yixi Li, Uma Kona, Linsey Pang, Prakhar Mehrotra

5 views Feb 23

Academic · 1 min

Multi-agent cooperation through in-context co-player inference

arXiv:2602.16301v1 Announce Type: new Abstract: Achieving cooperation among self-interested agents remains a fundamental challenge in multi-agent reinforcement learning. Recent work showed that mutual cooperation can …

Marissa A. Weis, Maciej Wo{\l}czyk, Rajai Nasser, Rif A. Saurous, Blaise Ag\"uera y Arcas, Jo\~ao Sacramento, Alexander Meulemans

5 views Feb 23

Academic · 1 min

Verifiable Semantics for Agent-to-Agent Communication

arXiv:2602.16424v1 Announce Type: new Abstract: Multiagent AI systems require consistent communication, but we lack methods to verify that agents share the same understanding of the …

Philipp Schoenegger, Matt Carlson, Chris Schneider, Chris Daly

9 views Feb 23

Academic · 1 min

Causally-Guided Automated Feature Engineering with Multi-Agent Reinforcement Learning

arXiv:2602.16435v1 Announce Type: new Abstract: Automated feature engineering (AFE) enables AI systems to autonomously construct high-utility representations from raw tabular data. However, existing AFE methods …

Arun Vignesh Malarkkan, Wangyang Ying, Yanjie Fu

10 views Feb 23

Academic · 1 min

Leveraging Large Language Models for Causal Discovery: a Constraint-based, Argumentation-driven Approach

arXiv:2602.16481v1 Announce Type: new Abstract: Causal discovery seeks to uncover causal relations from data, typically represented as causal graphs, and is essential for predicting the …

Zihao Li, Fabrizio Russo

5 views Feb 23

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Articles

How Uncertain Is the Grade? A Benchmark of Uncertainty Metrics for LLM-Based Automatic Assessment

Evidence-Grounded Subspecialty Reasoning: Evaluating a Curated Clinical Intelligence Layer on the 2025 Endocrinology Board-Style Examination

Improving Interactive In-Context Learning from Natural Language Feedback

GPSBench: Do Large Language Models Understand GPS Coordinates?

Learning Personalized Agents from Human Feedback

EnterpriseGym Corecraft: Training Generalizable Agents on High-Fidelity RL Environments

Revolutionizing Long-Term Memory in AI: New Horizons with High-Capacity and High-Speed Storage

Toward Scalable Verifiable Reward: Proxy State-Based Evaluation for Multi-turn Tool-Calling LLM Agents

Multi-agent cooperation through in-context co-player inference

Verifiable Semantics for Agent-to-Agent Communication

Causally-Guided Automated Feature Engineering with Multi-Agent Reinforcement Learning

Leveraging Large Language Models for Causal Discovery: a Constraint-based, Argumentation-driven Approach

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