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20242026
most citedResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration

8 citations · 16 across the 16 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

Does Accuracy Equal Evidence? Reasoning Faithfulness under KV Cache Compression

Mengting Ai, Jingrui He, Yue Guo

KV cache compression is commonly evaluated by final-answer accuracy, implicitly assuming that preserving the answer also preserves the reasoning that supports it. We test this assu…

cs.CL2026

Code as Agent Harness

Xuying Ning, Katherine Tieu, Dongqi Fu +39

Recent large language models (LLMs) have demonstrated strong capabilities in understanding and generating code, from competitive programming to repository-level software engineerin…

cs.CL2026

MedConceal: A Benchmark for Clinical Hidden-Concern Reasoning Under Partial Observability

Yikun Han, Joey Chan, Jingyuan Chen +3

Patient-clinician communication is an asymmetric-information problem: patients often do not disclose fears, misconceptions, or practical barriers unless clinicians elicit them skil…

cs.CL2025

AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning

Jiaru Zou, Ling Yang, Yunzhe Qi +5

Agentic reinforcement learning has advanced large language models (LLMs) to reason through long chain-of-thought trajectories while interleaving external tool use. Existing approac…

cs.CL2025

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory

Tianxin Wei, Noveen Sachdeva, Benjamin Coleman +12

Statefulness is essential for large language model (LLM) agents to perform long-term planning and problem-solving. This makes memory a critical component, yet its management and ev…