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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
Has Code
32.2%
Survival Rate
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AI use in American newspapers is widespread, uneven, and rarely disclosed
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Verifiable Accuracy and Abstention Rewards in Curriculum RL to Alleviate Lost-in-Conversation
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SemiAdapt and SemiLoRA: Efficient Domain Adaptation for Transformer-based Low-Resource Language Translation with a Case Study on Irish
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Beyond the Explicit: A Bilingual Dataset for Dehumanization Detection in Social Media
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DART: A Structured Dataset of Regulatory Drug Documents in Italian for Clinical NLP
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Chain-of-Thought Reasoning Improves Context-Aware Translation with Large Language Models
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From Local to Global: Revisiting Structured Pruning Paradigms for Large Language Models
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Evaluating Medical LLMs by Levels of Autonomy: A Survey Moving from Benchmarks to Applications
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Train for Truth, Keep the Skills: Binary Retrieval-Augmented Reward Mitigates Hallucinations
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PANER: A Paraphrase-Augmented Framework for Low-Resource Named Entity Recognition
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QueST: Incentivizing LLMs to Generate Difficult Problems
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Transformer-Based Low-Resource Language Translation: A Study on Standard Bengali to Sylheti
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Towards Mining Effective Pedagogical Strategies from Learner-LLM Educational Dialogues
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Deep Self-Evolving Reasoning
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Empowering Real-World: A Survey on the Technology, Practice, and Evaluation of LLM-driven Industry Agents
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ReXMoE: Reusing Experts with Minimal Overhead in Mixture-of-Experts
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Evaluating Large Language Models on Urdu Idiom Translation
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Leveraging Group Relative Policy Optimization to Advance Large Language Models in Traditional Chinese Medicine
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Death by README
EduAdapt: A Question Answer Benchmark Dataset for Evaluating Grade-Level Adaptability in LLMs
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Efficient Toxicity Detection in Gaming Chats: A Comparative Study of Embeddings, Fine-Tuned Transformers and LLMs
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Explainability of Large Language Models: Opportunities and Challenges toward Generating Trustworthy Explanations
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Wisdom is Knowing What not to Say: Hallucination-Free LLMs Unlearning via Attention Shifting
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