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🏛️ The Computation & Language Crypt
cs.CL: Where Computation & Language papers rest without their code.
40064
Total Papers
26069
No Code
1086
Twilight
12909
Has Code
32.2%
Survival Rate
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Re:Member: Emotional Question Generation from Personal Memories
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From Binary to Bilingual: How the National Weather Service is Using Artificial Intelligence to Develop a Comprehensive Translation Program
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Ensembling Large Language Models to Characterize Affective Dynamics in Student-AI Tutor Dialogues
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Identifying & Interactively Refining Ambiguous User Goals for Data Visualization Code Generation
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Everything is Plausible: Investigating the Impact of LLM Rationales on Human Notions of Plausibility
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FURINA: A Fully Customizable Role-Playing Benchmark via Scalable Multi-Agent Collaboration Pipeline
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Believing without Seeing: Quality Scores for Contextualizing Vision-Language Model Explanations
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Death of the Novel(ty): Beyond n-Gram Novelty as a Metric for Textual Creativity
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The Cartographer
Overhearing LLM Agents: A Survey, Taxonomy, and Roadmap
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ParlAI Vote: A Web Platform for Analyzing Gender and Political Bias in Large Language Models
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Audio-Based Crowd-Sourced Evaluation of Machine Translation Quality
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AgentCTG: Harnessing Multi-Agent Collaboration for Fine-Grained Precise Control in Text Generation
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Designing LLMs for cultural sensitivity: Evidence from English-Japanese translation
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Towards Automated Error Discovery: A Study in Conversational AI
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Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs
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Personality-Enhanced Social Recommendations in SAMI: Exploring the Role of Personality Detection in Matchmaking
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Are Humans as Brittle as Large Language Models?
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Talking with Oompa Loompas: A novel framework for evaluating linguistic acquisition of LLM agents
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Benchmarking Gender and Political Bias in Large Language Models
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Towards Stable and Personalised Profiles for Lexical Alignment in Spoken Human-Agent Dialogue
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Combine Virtual Reality and Machine-Learning to Identify the Presence of Dyslexia: A Cross-Linguistic Approach
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Personality Matters: User Traits Predict LLM Preferences in Multi-Turn Collaborative Tasks
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