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cs.CL2026

ArborMem: Navigating Interaction States with Memory Forests

Zongwei Lv, Yuemeng Xu, Yilun Yao +8

Large language models increasingly serve as persistent conversational assistants, requiring memory that preserves relevant experience and maintains continuity across interactions.…

cs.CL2026

External Experience Serving in Production LLM Systems: A Deployment-Oriented Study of Quality-Cost Trade-offs

Lin Sun, Heming Zhang, Xiangzheng Zhang

Production LLM systems accumulate reusable operational experience, but the practical deployment issue is not merely whether such experience can help. It is how different serving st…

cs.CL2026

RealClawBench: Live OpenClaw Benchmarks from Real Developer-Agent Sessions

Zongwei Lv, Yaoming Li, Zhewen Tan +7

Agent benchmarks should reflect what users actually ask deployed agents to do, yet existing benchmarks often miss key realism properties of real developer-agent sessions. We introd…

cs.CL2026

A Primer in Post-Training Reasoning Data: What We Know About How It Works

Yaoming Li, Guangxiang Zhao, Qilong Shi +3

Post-training has become a primary driver of recent progress in large reasoning models, and reasoning data are often the key variable determining whether this stage succeeds. Work…

cs.CL2026

BEAR: Budgeted Evidence Allocation for Multi-Document Reasoning

Lin Sun, Linglin Zhang, Jingang Huang +3

We argue that multi-document reasoning is constrained not only by how much text a model can read, but also by how limited query-time evidence budget is allocated across documents a…

cs.CL2025

Mask-GCG: Are All Tokens in Adversarial Suffixes Necessary for Jailbreak Attacks?

Junjie Mu, Zonghao Ying, Zhekui Fan +6

Jailbreak attacks on Large Language Models (LLMs) have demonstrated various successful methods whereby attackers manipulate models into generating harmful responses that they are d…