一作NeurIPS 2026Poster
Democratizing Tool Learning with Environments Fully Simulated by a Free 8B Language Model
Chenming Tang · Hsiu-Yuan Huang · Weijie Liu · Junqiang Zheng · Saiyong Yang · Yunfang Wu
社会与人本OpenReview
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Chenming Tang · Hsiu-Yuan Huang · Weijie Liu · Junqiang Zheng · Saiyong Yang · Yunfang Wu
Chenming Tang · Yutong Yang · Kexue Wang · Yunfang Wu
Knowledge editing aims to modify outdated knowledge in language models efficiently while retaining their original capabilities. Mainstream datasets for knowledge editing are predominantly static and fail to keep in pace with the evolving real-world knowledge. In this work, we introduce CRAFT, an...
Chenming Tang · Hsiu-Yuan Huang · Weijie Liu · Clive Bai · Saiyong Yang · Yunfang Wu
Reinforcement learning with verifiable rewards (RLVR) has significantly boosted the reasoning capability of language models (LMs). However, existing RLVR approaches train LMs based on their own on-policy responses and are constrained by the initial capability of LMs, thus prone to exploration sta...
Hsiu-Yuan Huang · Chenming Tang · Weijie Liu · Clive Bai · Saiyong Yang · Yunfang Wu
Existing Reinforcement Learning from Verifiable Rewards (RLVR) methods, such as Group Relative Policy Optimization (GRPO), have achieved remarkable progress in improving the reasoning capabilities of Large Reasoning Models (LRMs). However, they exhibit limited exploration due to reliance on on-po...