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LegalEval-Q: A New Benchmark for The Quality Evaluation of LLM-Generated Legal Text

arXiv:2505.24826v1 Announce Type: new Abstract: As large language models (LLMs) are increasingly used in legal...

Learning to lead in a hybrid human-AI enterprise

As adoption of AI agents looks set to surge by as much as 300% in...

Learning to Interpret Weight Differences in Language Models

arXiv:2510.05092v3 Announce Type: replace-cross Abstract: Finetuning (pretrained) language models is a standard approach for updating...

Learning to Align, Aligning to Learn: A Unified Approach for Self-Optimized Alignment

arXiv:2508.07750v1 Announce Type: cross Abstract: Alignment methodologies have emerged as a critical pathway for enhancing...

Learning the Wrong Lessons: Syntactic-Domain Spurious Correlations in Language Models

arXiv:2509.21155v2 Announce Type: replace Abstract: For an LLM to correctly respond to an instruction it...

Learning Human-Perceived Fakeness in AI-Generated Videos via Multimodal LLMs

arXiv:2509.22646v1 Announce Type: cross Abstract: Can humans identify AI-generated (fake) videos and provide grounded reasons?...

Learning from Self Critique and Refinement for Faithful LLM Summarization

arXiv:2512.05387v1 Announce Type: new Abstract: Large Language Models (LLMs) often suffer from hallucinations: output content...

Learning Dynamic Representations and Policies from Multimodal Clinical Time-Series with Informative Missingness

arXiv:2604.21235v1 Announce Type: cross Abstract: Multimodal clinical records contain structured measurements and clinical notes recorded...

Learn the Ropes, Then Trust the Wins: Self-imitation with Progressive Exploration for Agentic Reinforcement Learning

arXiv:2509.22601v3 Announce Type: replace-cross Abstract: Reinforcement learning (RL) is the dominant paradigm for sharpening strategic...

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