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CoVe: Training Interactive Tool-Use Agents via Constraint-Guided Verification

Intermediate

Jinpeng Chen, Cheng Gong et al.Mar 2arXiv

CoVe is a way to create training conversations for AI agents that use tools, while guaranteeing the conversations are both challenging and correct.

#constraint-guided verification#multi-turn tool use#user simulator

QwenLong-L1.5: Post-Training Recipe for Long-Context Reasoning and Memory Management

Intermediate

Weizhou Shen, Ziyi Yang et al.Dec 15arXiv

QwenLong-L1.5 is a training recipe that helps AI read and reason over very long documents by improving the data it learns from, the way it is trained, and how it remembers important stuff.

#long-context reasoning#reinforcement learning#GRPO

Achieving Olympia-Level Geometry Large Language Model Agent via Complexity Boosting Reinforcement Learning

Intermediate

Haiteng Zhao, Junhao Shen et al.Dec 11arXiv

This paper builds InternGeometry, a large language model agent that solves Olympiad-level geometry by talking to a math engine, remembering what worked, and trying smart new ideas.

#InternGeometry#geometry theorem proving#auxiliary constructions

Papers3

CoVe: Training Interactive Tool-Use Agents via Constraint-Guided Verification

QwenLong-L1.5: Post-Training Recipe for Long-Context Reasoning and Memory Management

Achieving Olympia-Level Geometry Large Language Model Agent via Complexity Boosting Reinforcement Learning