🏛️ The Computation & Language Crypt
cs.CL: Where Computation & Language papers rest without their code.
39622
Total Papers
26069
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Twilight
12467
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Skeleton Repo
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LLM Latent Reasoning as Chain of Superposition
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Controllable Abstraction in Summary Generation for Large Language Models via Prompt Engineering
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NExT-OMNI: Towards Any-to-Any Omnimodal Foundation Models with Discrete Flow Matching
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MemoTime: Memory-Augmented Temporal Knowledge Graph Enhanced Large Language Model Reasoning
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Uncertainty Quantification for Hallucination Detection in Large Language Models: Foundations, Methodology, and Future Directions
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Valid Survey Simulations with Limited Human Data: The Roles of Prompting, Fine-Tuning, and Rectification
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Dynamic Topic Evolution with Temporal Decay and Attention in Large Language Models
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Autoencoding-Free Context Compression for LLMs via Contextual Semantic Anchors
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CoMAS: Co-Evolving Multi-Agent Systems via Interaction Rewards
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The Cartographer
A Survey of Process Reward Models: From Outcome Signals to Process Supervisions for Large Language Models
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Native Hybrid Attention for Efficient Sequence Modeling
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CreditDecoding: Accelerating Parallel Decoding in Diffusion Large Language Models with Trace Credits
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LingoLoop Attack: Trapping MLLMs via Linguistic Context and State Entrapment into Endless Loops
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UCD: Unlearning in LLMs via Contrastive Decoding
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Pragmatic Reasoning improves LLM Code Generation
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UnitCoder: Scalable Iterative Code Synthesis with Unit Test Guidance
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QiMeng-Xpiler: Transcompiling Tensor Programs for Deep Learning Systems with a Neural-Symbolic Approach
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LLM-Assisted Automated Deductive Coding of Dialogue Data: Leveraging Dialogue-Specific Characteristics to Enhance Contextual Understanding
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Limited Effectiveness of LLM-based Data Augmentation for COVID-19 Misinformation Stance Detection
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The time scale of redundancy between prosody and linguistic context
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L$^2$M: Mutual Information Scaling Law for Long-Context Language Modeling
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The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States
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