Noticias
Lessons from the Field: An Adaptable Lifecycle Approach to Applied Dialogue Summarization
arXiv:2601.08682v1 Announce Type: new Abstract: Summarization of multi-party dialogues is a critical capability in industry...
Less Is More for Multi-Step Logical Reasoning of LLM Generalisation Under Rule Removal, Paraphrasing, and Compression
arXiv:2512.06393v2 Announce Type: replace-cross Abstract: Large language models (LLMs) achieve strong performance on many natural...
Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens
arXiv:2507.02964v2 Announce Type: replace Abstract: The increasing scale of AI workloads demands High-Performance Computing (HPC)...
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...
