🏛️ The Computation & Language Crypt
cs.CL: Where Computation & Language papers rest without their code.
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DROID: Dual Representation for Out-of-Scope Intent Detection
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ERGO: Entropy-guided Resetting for Generation Optimization in Multi-turn Language Models
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Quantifying Phonosemantic Iconicity Distributionally in 6 Languages
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Think Globally, Group Locally: Evaluating LLMs Using Multi-Lingual Word Grouping Games
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Confidence-Based Response Abstinence: Improving LLM Trustworthiness via Activation-Based Uncertainty Estimation
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Assessing Web Search Credibility and Response Groundedness in Chat Assistants
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Big Reasoning with Small Models: Instruction Retrieval at Inference Time
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Unlocking Public Catalogues: Instruction-Tuning LLMs for ICD Coding of German Tumor Diagnoses
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FreshTab: Sourcing Fresh Data for Table-to-Text Generation Evaluation
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Robust or Suggestible? Exploring Non-Clinical Induction in LLM Drug-Safety Decisions
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ConsintBench: Evaluating Language Models on Real-World Consumer Intent Understanding
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Beyond Single-Reward: Multi-Pair, Multi-Perspective Preference Optimization for Machine Translation
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Investigating Lexical Change through Cross-Linguistic Colexification Patterns
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Make an Offer They Can't Refuse: Grounding Bayesian Persuasion in Real-World Dialogues without Pre-Commitment
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FACTS: Table Summarization via Offline Template Generation with Agentic Workflows
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Personal Attribute Leakage in Federated Speech Models
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Proverbs or Pythian Oracles? Sentiments and Emotions in Greek Sayings
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Embedding-Based Context-Aware Reranker
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Optimal Aggregation of LLM and PRM Signals for Efficient Test-Time Scaling
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Readability $\ne$ Learnability: Rethinking the Role of Simplicity in Training Small Language Models
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A fully automated and scalable Parallel Data Augmentation for Low Resource Languages using Image and Text Analytics
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LLM-Guided Synthetic Augmentation (LGSA) for Mitigating Bias in AI Systems
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