🏛️ The Computation & Language Crypt
cs.CL: Where Computation & Language papers rest without their code.
40064
Total Papers
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Rethinking what Matters: Effective and Robust Multilingual Realignment for Low-Resource Languages
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Towards Resource-Efficient Multimodal Intelligence: Learned Routing among Specialized Expert Models
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Grounded Visual Factualization: Factual Anchor-Based Finetuning for Enhancing MLLM Factual Consistency
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SugarTextNet: A Transformer-Based Framework for Detecting Sugar Dating-Related Content on Social Media with Context-Aware Focal Loss
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HatePrototypes: Interpretable and Transferable Representations for Implicit and Explicit Hate Speech Detection
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Towards Fine-Grained Code-Switch Speech Translation with Semantic Space Alignment
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Forecasting Spoken Language Development in Children with Cochlear Implants Using Preimplantation MRI
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Analyzing and Mitigating Negation Artifacts using Data Augmentation for Improving ELECTRA-Small Model Accuracy
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The Cartographer
Overview of CHIP 2025 Shared Task 2: Discharge Medication Recommendation for Metabolic Diseases Based on Chinese Electronic Health Records
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SPA: Achieving Consensus in LLM Alignment via Self-Priority Optimization
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Explicit Knowledge-Guided In-Context Learning for Early Detection of Alzheimer's Disease
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BookAsSumQA: An Evaluation Framework for Aspect-Based Book Summarization via Question Answering
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Referring Expressions as a Lens into Spatial Language Grounding in Vision-Language Models
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MIND Your Reasoning: A Meta-Cognitive Intuitive-Reflective Network for Dual-Reasoning in Multimodal Stance Detection
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Efficient Hate Speech Detection: A Three-Layer LoRA-Tuned BERTweet Framework
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Visual Exploration of Feature Relationships in Sparse Autoencoders with Curated Concepts
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Multi-Reward GRPO Fine-Tuning for De-biasing Large Language Models: A Study Based on Chinese-Context Discrimination Data
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Interpretable Recognition of Cognitive Distortions in Natural Language Texts
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Reinforcement Learning Improves Traversal of Hierarchical Knowledge in LLMs
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IDALC: A Semi-Supervised Framework for Intent Detection and Active Learning based Correction
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NILC: Discovering New Intents with LLM-assisted Clustering
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In-Context Learning Without Copying
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