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From the 1 of 11 linked papers with an AI index.

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11 papers

cs.CL2026

TREK: A Travel Reasoning and Evaluation Kit for LLM Agents in Complex Trip Planning

Jinhu Qi, Wentao Zhang, Siu Man Ng +4

The paper introduces TREK, a benchmark and deterministic evaluation kit for testing large language model agents on complex travel itinerary planning, requiring joint satisfaction o…

cs.CL2026

Reinforcement Learning for Large Language Model Selective Evidence Adoption from Contaminated Retrieval Results

Yanyu Chen, Yue Li, Yongyi Cui +2

Retrieval-augmented large language models frequently face contexts that interleave useful evidence with misleading statements or instruction-like content. Blanket refusal discards…

cs.AI2026

Momentum for Reasoning: Dense Intrinsic Signals in Policy Optimization

Hao Chen, Zhanming Shen, Liyao Li +8

Reinforcement learning with verifiable rewards (RLVR) has emerged as a powerful paradigm for eliciting long-chain reasoning in large language models. However, existing methods base…

cs.AI2026

LC-ERD: Mining Latent Logic for Self-Evolving Reasoning via Consistency-Regulated Reward Decomposition

Yanyu Chen, Jiyue Jiang, Dianzhi Yu +8

The evolution of Large Language Model (LLM) reasoning is bottlenecked by the scarcity of high-quality process data. While self-alignment via endogenous rewards offers a solution, m…

cs.CL2026

GUI-CIDER: Mid-training GUI Agents via Causal Internalization and Density-aware Exemplar Reselection

Zheng Wu, Chengcheng Han, Zhengxi Lu +5

Despite the rapid progress of multimodal large language models in building Graphical User Interface (GUI) agents, their real-world task completion is fundamentally bottlenecked by…

cs.CL2026

A Principle-Driven Adaptive Policy for Group Cognitive Stimulation Dialogue for Elderly with Cognitive Impairment

Jiyue Jiang, Yanyu Chen, Pengan Chen +7

Cognitive impairment is becoming a major public health challenge. Cognitive Stimulation Therapy (CST) is an effective intervention for cognitive impairment, but traditional methods…