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🏛️ The Computation & Language Crypt
cs.CL: Where Computation & Language papers rest without their code.
39803
Total Papers
26069
No Code
1086
Twilight
12648
Has Code
31.8%
Survival Rate
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Breaking Chains: Unraveling the Links in Multi-Hop Knowledge Unlearning
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The Geometry of Numerical Reasoning: Language Models Compare Numeric Properties in Linear Subspaces
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When Not to Answer: Evaluating Prompts on GPT Models for Effective Abstention in Unanswerable Math Word Problems
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Interpreting token compositionality in LLMs: A robustness analysis
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Identifying Task Groupings for Multi-Task Learning Using Pointwise V-Usable Information
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On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs
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How to Make LLMs Forget: On Reversing In-Context Knowledge Edits
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Insights from the Inverse: Reconstructing LLM Training Goals Through Inverse Reinforcement Learning
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Kallini et al. (2024) do not compare impossible languages with constituency-based ones
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On A Scale From 1 to 5: Quantifying Hallucination in Faithfulness Evaluation
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Exploiting LLMs' Reasoning Capability to Infer Implicit Concepts in Legal Information Retrieval
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Iter-AHMCL: Alleviate Hallucination for Large Language Model via Iterative Model-level Contrastive Learning
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Toolken+: Improving LLM Tool Usage with Reranking and a Reject Option
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Leaving the barn door open for Clever Hans: Simple features predict LLM benchmark answers
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Difficult Task Yes but Simple Task No: Unveiling the Laziness in Multimodal LLMs
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Code-Mixer Ya Nahi: Novel Approaches to Measuring Multilingual LLMs' Code-Mixing Capabilities
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Assessing Bias in Metric Models for LLM Open-Ended Generation Bias Benchmarks
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Beyond Human-Only: Evaluating Human-Machine Collaboration for Collecting High-Quality Translation Data
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Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only
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Assessing the Human Likeness of AI-Generated Counterspeech
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Large Language Models Are Active Critics in NLG Evaluation
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QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios
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