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🏛️ The Computation & Language Crypt
cs.CL: Where Computation & Language papers rest without their code.
39622
Total Papers
26069
No Code
1086
Twilight
12467
Has Code
31.5%
Survival Rate
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Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization
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Cross-lingual AMR Aligner: Paying Attention to Cross-Attention
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The Emotion is Not One-hot Encoding: Learning with Grayscale Label for Emotion Recognition in Conversation
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A Girl Has A Name, And It's ... Adversarial Authorship Attribution for Deobfuscation
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A New Dataset for Topic-Based Paragraph Classification in Genocide-Related Court Transcripts
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Artefact Retrieval: Overview of NLP Models with Knowledge Base Access
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Mask-GCG: Are All Tokens in Adversarial Suffixes Necessary for Jailbreak Attacks?
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Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks
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Rethinking Repetition Problems of LLMs in Code Generation
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AgentPRM: Process Reward Models for LLM Agents via Step-Wise Promise and Progress
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Efficient Context Selection for Long-Context QA: No Tuning, No Iteration, Just Adaptive-$k$
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Verify-in-the-Graph: Entity Disambiguation Enhancement for Complex Claim Verification with Interactive Graph Representation
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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities
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Federated Retrieval-Augmented Generation: A Systematic Mapping Study
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The Pitfalls of Growing Group Complexity: LLMs and Social Choice-Based Aggregation for Group Recommendations
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Exposing Product Bias in LLM Investment Recommendation
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OpenRAG: Optimizing RAG End-to-End via In-Context Retrieval Learning
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SRAG: Structured Retrieval-Augmented Generation for Multi-Entity Question Answering over Wikipedia Graph
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iAgent: LLM Agent as a Shield between User and Recommender Systems
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Retrieval-augmented systems can be dangerous medical communicators
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Evaluating LLM Abilities to Understand Tabular Electronic Health Records: A Comprehensive Study of Patient Data Extraction and Retrieval
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From General to Specific: Tailoring Large Language Models for Personalized Healthcare
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