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Like humans, AI is forcing institutions to rethink their purpose
Like people undergoing cognitive migration, institutions must reassess what they were made for in this...
Lightweight Query Routing for Adaptive RAG: A Baseline Study on RAGRouter-Bench
arXiv:2604.03455v1 Announce Type: cross Abstract: Retrieval-Augmented Generation pipelines span a wide range of retrieval strategies...
LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligence
arXiv:2512.04578v1 Announce Type: new Abstract: Legal general intelligence (GI) refers to artificial intelligence (AI) that...
Leveraging Machine Learning to Identify Gendered Stereotypes and Body Image Concerns on Diet and Fitness Online Forums
arXiv:2407.03551v2 Announce Type: replace-cross Abstract: The pervasive expectations about ideal body types in Western society...
Let’s Reason Formally: Natural-Formal Hybrid Reasoning Enhances LLM’s Math Capability
arXiv:2505.23703v4 Announce Type: replace-cross Abstract: Enhancing the mathematical reasoning capabilities of LLMs has garnered significant...
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...
