🏛️ The Computation & Language Crypt
cs.CL: Where Computation & Language papers rest without their code.
39319
Total Papers
26069
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Twilight
12164
Has Code
30.9%
Survival Rate
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The Cartographer
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Contextual Compression in Retrieval-Augmented Generation for Large Language Models: A Survey
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Beyond Relevant Documents: A Knowledge-Intensive Approach for Query-Focused Summarization using Large Language Models
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W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering
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PERSOMA: PERsonalized SOft ProMpt Adapter Architecture for Personalized Language Prompting
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Bridging the Gap Between Information Seeking and Product Search Systems: Q&A Recommendation for E-commerce
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FsPONER: Few-shot Prompt Optimization for Named Entity Recognition in Domain-specific Scenarios
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Leveraging Large Language Models for Knowledge-free Weak Supervision in Clinical Natural Language Processing
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Hey GPT, Can You be More Racist? Analysis from Crowdsourced Attempts to Elicit Biased Content from Generative AI
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Multi-Bin Batching for Increasing LLM Inference Throughput
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A Training-free Sub-quadratic Cost Transformer Model Serving Framework With Hierarchically Pruned Attention
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KcMF: A Knowledge-compliant Framework for Schema and Entity Matching with Fine-tuning-free LLMs
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Enhancing Temporal Understanding in LLMs for Semi-structured Tables
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SQL-Encoder: Improving NL2SQL In-Context Learning Through a Context-Aware Encoder
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SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness
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Toxic Memes: A Survey of Computational Perspectives on the Detection and Explanation of Meme Toxicities
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Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategy
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Automating the Information Extraction from Semi-Structured Interview Transcripts
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TiDAR: Think in Diffusion, Talk in Autoregression
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Social Media for Mental Health: Data, Methods, and Findings
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WebLeaper: Empowering Efficiency and Efficacy in WebAgent via Enabling Info-Rich Seeking
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Enhancing Large Language Model Reasoning via Selective Critical Token Fine-Tuning
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Modeling Open-World Cognition as On-Demand Synthesis of Probabilistic Models
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