🏛️ The Computation & Language Crypt
cs.CL: Where Computation & Language papers rest without their code.
40064
Total Papers
26069
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12909
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Asking LLMs to Verify First is Almost Free Lunch
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HUMORCHAIN: Theory-Guided Multi-Stage Reasoning for Interpretable Multimodal Humor Generation
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Beyond Component Strength: Synergistic Integration and Adaptive Calibration in Multi-Agent RAG Systems
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Supervised Fine Tuning of Large Language Models for Domain Specific Knowledge Graph Construction:A Case Study on Hunan's Historical Celebrities
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The Linguistic Architecture of Reflective Thought: Evaluation of a Large Language Model as a Tool to Isolate the Formal Structure of Mentalization
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PromptTailor: Multi-turn Intent-Aligned Prompt Synthesis for Lightweight LLMs
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Integrating Symbolic Natural Language Understanding and Language Models for Word Sense Disambiguation
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WER is Unaware: Assessing How ASR Errors Distort Clinical Understanding in Patient Facing Dialogue
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Learning from Sufficient Rationales: Analysing the Relationship Between Explanation Faithfulness and Token-level Regularisation Strategies
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SDA: Steering-Driven Distribution Alignment for Open LLMs without Fine-Tuning
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TS-PEFT: Unveiling Token-Level Redundancy in Parameter-Efficient Fine-Tuning
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ELPO: Ensemble Learning Based Prompt Optimization for Large Language Models
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Learning Tractable Distributions Of Language Model Continuations
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The Cartographer
German General Personas: A Survey-Derived Persona Prompt Collection for Population-Aligned LLM Studies
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Building Robust and Scalable Multilingual ASR for Indian Languages
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The Empowerment of Science of Science by Large Language Models: New Tools and Methods
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OEMA: Ontology-Enhanced Multi-Agent Collaboration Framework for Zero-Shot Clinical Named Entity Recognition
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Mathematical Analysis of Hallucination Dynamics in Large Language Models: Uncertainty Quantification, Advanced Decoding, and Principled Mitigation
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Noise-Robust Abstractive Compression in Retrieval-Augmented Language Models
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Ground Truth Generation for Multilingual Historical NLP using LLMs
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Examining the Metrics for Document-Level Claim Extraction in Czech and Slovak
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The Tokenization Bottleneck: How Vocabulary Extension Improves Chemistry Representation Learning in Pretrained Language Models
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