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Published Date

Publication

Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective

Siwei Wang, Yifei Shen, Haoran Sun, Shi Feng, Shang-Hua Teng, Li Dong, Yaru Hao, Wei Chen

Proceedings of the 14th International Conference on Learning Representations (ICLR) | April 2026

Publication

The ORBIT India Dataset: Understanding the Challenges of Collecting a Disability-First AI Dataset in Low-Resource Environments

Gesu India, Martin Grayson, Cecily Morrison, Daniela Massiceti, Simon Robinson, Jennifer Pearson, Matt Jones

CHI Conference on Human Factors in Computing Systems | April 2026

Project

Publication

“Chat, Should I Leave Him?” Risks, Rewards, and Roles for AI in Relationship Advice

Emily Tseng, Calvin A. Liang

CHI 2026 | April 2026

Publication

Identifying Harm in Personalized, Generative AI Systems Require User-Centered Auditing at the Interaction Level

Hannah Cha

HEAL @ CHI ’26 | April 2026

Publication

NetArena: Dynamic Benchmarks for AI Agents in Network Automation

Yajie Zhou, Jiajun Ruan, Eric S. Wang, Sadjad Fouladi, Francis Y. Yan, Kevin Hsieh, Zaoxing Liu

ICLR 2026 | April 2026

Ranked 1st on the "Coding Agent" benchmark in Berkeley's AgentX competition

Publication

Lipschitz Bandits with Stochastic Delayed Feedback

Zhongxuan Liu, Yue Kang, Thomas C. M. Lee

2026 International Conference on Learning Representations | April 2026

Publication

From Binary Groundedness to Support Relations: Towards a Reader-Centred Taxonomy for Comprehension of AI Output

Advait Sarkar, Christian Poelitz, Viktor Kewenig

ACM CHI 2026 Workshop on Science and Technology for Augmenting Reading (CHI ’26 STAR) | April 2026

Project

Publication

AsgardBench— Evaluating Visually Grounded Interactive Planning Under Minimal Feedback

Andrea Tupini, Lars Liden, Reuben Tan, Yu Wang, Jianfeng Gao

ArXiv | March 2026, Vol 2603(15888)

Tool

A unified framework for building and evaluating safe multi-agent systems SafeAgents provides a simple, framework-agnostic API for creating multi-agent systems with built-in safety evaluation, attack detection, and support for multiple agentic frameworks (Autogen, LangGraph, OpenAI…

GitHub

Tool

BusyBox

BusyBox is a physical 3D-printable device for benchmarking affordance generalization in robot foundation models. It features Please check out our website (opens in new tab) for more details. For fully building a instrumented BusyBox capable…

GitHub Publication

Artificial Intelligence

Highlights