Write a blog to share my recent thoughts about knowledge boundaries & tool use & language agent. This is the first time to propose three laws of knowledge boundaries!🔥 candle-walker-56d.notion.site/NAACL-2025-Ora… Chinese Version: mp.weixin.qq.com/s/XzjiLUFAr1Yc…

🎉 Thrilled to share that two of our Agent papers are accepted to ACL 2025! 1️⃣ CoALM: arxiv.org/abs/2502.08820 2️⃣ SMART: arxiv.org/abs/2502.11435 Looking forward to presenting these and exchanging ideas on Agents at #ACL2025 ACL 2025! 🚀 Additionally, I am also excited to be

📣 SMARTAgent is accepted to ACL 2025 Findings! It’s increasingly important to form an agent’s metacognition, which we believe should guide its action and reasoning. We are continuing on this way!! Position paper will be released soon!

📣 EscapeBench is accepted to ACL 2025 Main! Creativity is what many current agent works neglect, but will be extremely important for agent to reach human level intelligence and be applied to solve real world challenges. Another paper continuing this work is also on the way!

While building Agents for Enterprise applications, one thing is very important: not to overuse tool-calling with LLMs - that makes your AI agent very expensive. In our new ACL paper, we show a method to mitigate over-use of tools using a SMART way. Read more from post below 👇

Mathematical modeling is a key way for our humans to understand how the world runs. If you truly believe in your agent, you should test them on our new benchmark!

(1/5) Want to make your LLM a skilled persuader? Check out our latest paper: "ToMAP: Training Opponent-Aware LLM Persuaders with Theory of Mind"! For details: 📄Arxiv: arxiv.org/pdf/2505.22961 🛠️GitHub: github.com/ulab-uiuc/ToMAP

What’s is the agent? What is the optimal behavior to achieve the predefined goal? And how to learn that behavior policy? We formally introduce a systematic Theory of Agent (ToA), analogous to the cognitive framework of Theory of Mind (ToM). Where ToM refers to the ability to

Theory of Agent: From reasoning and tool use, we are defining agent from a knowledge and behavior driven perspective. Welcome to check our newest release!! arxiv.org/pdf/2506.00886

Can LLMs make rational decisions like human experts? 📖Introducing DecisionFlow: Advancing Large Language Model as Principled Decision Maker We introduce a novel framework that constructs a semantically grounded decision space to evaluate trade-offs in hard decision-making

Excited to share that EmbodiedBench was selected for an Oral at ICML 2025! We recently added results for new models (InternVL3, Gemma3, Ovis2) and released a large agent trajectory dataset on 🤗: embodiedbench.github.io Try training and evaluating your MLLM for embodied agents!

What is key of agent decision making? Is there a decision making boundary? I am always thinking of the potential boundary of correct decision making and the uncertainty of this boundary. The alignment of decision making boundary and tool-use boundary led by @WangCarrey

🧠Let’s teach LLMs to learn smarter, not harder💥[arxiv.org/pdf/2506.06972] 🤖How can LLMs verify complex scientific information efficiently? 🚀We propose modular, reusable atomic reasoning skills that reduce LLMs’ cognitive load to verify scientific claims with little data.

🧠 How can AI evolve from statically 𝘵𝘩𝘪𝘯𝘬𝘪𝘯𝘨 𝘢𝘣𝘰𝘶𝘵 𝘪𝘮𝘢𝘨𝘦𝘴 → dynamically 𝘵𝘩𝘪𝘯𝘬𝘪𝘯𝘨 𝘸𝘪𝘵𝘩 𝘪𝘮𝘢𝘨𝘦𝘴 as cognitive workspaces, similar to the human mental sketchpad? 🔍 What’s the 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗿𝗼𝗮𝗱𝗺𝗮𝗽 from tool-use → programmatic