cs.CL(2026-01-02)

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支柱九:具身大模型 (Embodied Foundation Models) (4 🔗1) 支柱二:RL算法与架构 (RL & Architecture) (1)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (4 篇)

#题目一句话要点标签🔗
1 Exploring the Performance of Large Language Models on Subjective Span Identification Tasks 探索大语言模型在主观文本跨度识别任务中的性能表现 large language model chain-of-thought
2 Probabilistic Guarantees for Reducing Contextual Hallucinations in LLMs 提出一种概率保证框架,用于降低LLM在确定性任务中的上下文幻觉 large language model
3 Beyond IVR: Benchmarking Customer Support LLM Agents for Business-Adherence JourneyBench:面向业务合规性的客户支持LLM智能体评测基准 large language model
4 InfoSynth: Information-Guided Benchmark Synthesis for LLMs InfoSynth:信息论指导的LLM基准自动合成框架 large language model

🔬 支柱二:RL算法与架构 (RL & Architecture) (1 篇)

#题目一句话要点标签🔗
5 Physio-DPO: Aligning Large Language Models with the Protein Energy Landscape to Eliminate Structural Hallucinations Physio-DPO:通过蛋白质能量景观对齐大语言模型,消除结构幻觉 PPO DPO direct preference optimization

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