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🏛️ The Computation & Language Crypt
cs.CL: Where Computation & Language papers rest without their code.
40064
Total Papers
26069
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1086
Twilight
12909
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32.2%
Survival Rate
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The Speech-LLM Takes It All: A Truly Fully End-to-End Spoken Dialogue State Tracking Approach
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NL2GenSym: Natural Language to Generative Symbolic Rules for SOAR Cognitive Architecture via Large Language Models
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Logit Arithmetic Elicits Long Reasoning Capabilities Without Training
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Entropy Meets Importance: A Unified Head Importance-Entropy Score for Stable and Efficient Transformer Pruning
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ShiZhi: A Chinese Lightweight Large Language Model for Court View Generation
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One Sentence, Two Embeddings: Contrastive Learning of Explicit and Implicit Semantic Representations
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CFVBench: A Comprehensive Video Benchmark for Fine-grained Multimodal Retrieval-Augmented Generation
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DSPO: Stable and Efficient Policy Optimization for Agentic Search and Reasoning
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CrisiText: A dataset of warning messages for LLM training in emergency communication
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IRIS: An Iterative and Integrated Framework for Verifiable Causal Discovery in the Absence of Tabular Data
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DICE: Structured Reasoning in LLMs through SLM-Guided Chain-of-Thought Correction
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Stronger Re-identification Attacks through Reasoning and Aggregation
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Augmenting Dialog with Think-Aloud Utterances for Modeling Individual Personality Traits by LLM
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Users as Annotators: LLM Preference Learning from Comparison Mode
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When Retrieval Succeeds and Fails: Rethinking Retrieval-Augmented Generation for LLMs
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FrameEOL: Semantic Frame Induction using Causal Language Models
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Modeling Layered Consciousness with Multi-Agent Large Language Models
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Large Language Models Do NOT Really Know What They Don't Know
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Exploring Cross-Lingual Knowledge Transfer via Transliteration-Based MLM Fine-Tuning for Critically Low-resource Chakma Language
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Automated Refinement of Essay Scoring Rubrics for Language Models via Reflect-and-Revise
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Decoupling Safety into Orthogonal Subspace: Cost-Efficient and Performance-Preserving Alignment for Large Language Models
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ReaLM: Residual Quantization Bridging Knowledge Graph Embeddings and Large Language Models
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