🏛️ The Computation & Language Crypt
cs.CL: Where Computation & Language papers rest without their code.
38833
Total Papers
26069
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Twilight
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A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts
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Language Representation Projection: Can We Transfer Factual Knowledge across Languages in Multilingual Language Models?
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Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing Assistance
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PPTC Benchmark: Evaluating Large Language Models for PowerPoint Task Completion
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Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions
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InstOptima: Evolutionary Multi-objective Instruction Optimization via Large Language Model-based Instruction Operators
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Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning
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Compositional preference models for aligning LMs
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Can GPT models be Financial Analysts? An Evaluation of ChatGPT and GPT-4 on mock CFA Exams
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Glitter or Gold? Deriving Structured Insights from Sustainability Reports via Large Language Models
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SocREval: Large Language Models with the Socratic Method for Reference-Free Reasoning Evaluation
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Curriculum-Driven Edubot: A Framework for Developing Language Learning Chatbots Through Synthesizing Conversational Data
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EDIS: Entity-Driven Image Search over Multimodal Web Content
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Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence
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"Why is this misleading?": Detecting News Headline Hallucinations with Explanations
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Adapting a Language Model While Preserving its General Knowledge
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SEAT: Stable and Explainable Attention
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Toward expanding the scope of radiology report summarization to multiple anatomies and modalities
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Information-Theoretic Text Hallucination Reduction for Video-grounded Dialogue
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A Dynamic Graph Interactive Framework with Label-Semantic Injection for Spoken Language Understanding
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TOE: A Grid-Tagging Discontinuous NER Model Enhanced by Embedding Tag/Word Relations and More Fine-Grained Tags
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WikiWhy: Answering and Explaining Cause-and-Effect Questions
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