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CAPER: Clause-Aligned Process Supervision for Text-to-SQL1h◆Skill-RM: Unifying Heterogeneous Evaluation Criteria via Agent Skill1h◆Neuron Populations Exhibit Divergent Selectivity with Scale1h◆Evaluating the Reversal Curse in Model Editing1h◆Ranking Free RAG: Replacing Re-ranking with Selection in RAG for Sensitive Domains1h◆Enhancing Paraphrase Type Generation: The Impact of DPO and RLHF Evaluated with Human-Ranked Data1h◆Learning without training: The implicit dynamics of in-context learning1h◆Privacy-Aware Decoding: Mitigating Privacy Leakage of Large Language Models in Retrieval-Augmented Generation1h◆CTR-Sink: Attention Sink for Language Models in Click-Through Rate Prediction1h◆When Models Refuse: Political Steerability and Feature Richness as Measures of Ideological Depth1h◆Train Once, Reuse Everywhere: Generalizable Implicit In-Context Learning by Routing Attention1h◆Instant Personalized Large Language Model Adaptation via Hypernetwork1h◆REFLEX: Self-Refining Explainable Fact-Checking via Verdict-Anchored Style Control1h◆CourseTimeQA: A Lecture-Video Benchmark and a Latency-Constrained Cross-Modal Fusion Method for Timestamped QA1h◆KBQA-R1: Reinforcing Large Language Models for Knowledge Base Question Answering1h◆Social Caption: Evaluating Social Understanding in Multimodal Models1h◆Neural Attention Search Linear: Towards Adaptive Token-Level Hybrid Attention Models1h◆Embracing Anisotropy: Turning Massive Activations into Interpretable Control Knobs for Large Language Models1h◆Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams1h◆Learning Concepts, Not Tokens: Self-Supervised Semantic Alignment for Language Models1h◆CAPER: Clause-Aligned Process Supervision for Text-to-SQL1h◆Skill-RM: Unifying Heterogeneous Evaluation Criteria via Agent Skill1h◆Neuron Populations Exhibit Divergent Selectivity with Scale1h◆Evaluating the Reversal Curse in Model Editing1h◆Ranking Free RAG: Replacing Re-ranking with Selection in RAG for Sensitive Domains1h◆Enhancing Paraphrase Type Generation: The Impact of DPO and RLHF Evaluated with Human-Ranked Data1h◆Learning without training: The implicit dynamics of in-context learning1h◆Privacy-Aware Decoding: Mitigating Privacy Leakage of Large Language Models in Retrieval-Augmented Generation1h◆CTR-Sink: Attention Sink for Language Models in Click-Through Rate Prediction1h◆When Models Refuse: Political Steerability and Feature Richness as Measures of Ideological Depth1h◆Train Once, Reuse Everywhere: Generalizable Implicit In-Context Learning by Routing Attention1h◆Instant Personalized Large Language Model Adaptation via Hypernetwork1h◆REFLEX: Self-Refining Explainable Fact-Checking via Verdict-Anchored Style Control1h◆CourseTimeQA: A Lecture-Video Benchmark and a Latency-Constrained Cross-Modal Fusion Method for Timestamped QA1h◆KBQA-R1: Reinforcing Large Language Models for Knowledge Base Question Answering1h◆Social Caption: Evaluating Social Understanding in Multimodal Models1h◆Neural Attention Search Linear: Towards Adaptive Token-Level Hybrid Attention Models1h◆Embracing Anisotropy: Turning Massive Activations into Interpretable Control Knobs for Large Language Models1h◆Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams1h◆Learning Concepts, Not Tokens: Self-Supervised Semantic Alignment for Language Models1h◆

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