Noticias
AbstRaL: Teaching LLMs Abstract Reasoning via Reinforcement to Boost Robustness on GSM Benchmarks
Recent research indicates that LLMs, particularly smaller ones, frequently struggle with robust reasoning. They tend...
Abstract or die: Why AI enterprises can’t afford rigid vector stacks
Vector databases (DBs), once specialist research instruments, have become widely used infrastructure in just a...
A Unified Representation for Continuity and Discontinuity: Syntactic and Computational Motivations
arXiv:2506.05686v1 Announce Type: new Abstract: This paper advances a unified representation of linguistic structure for...
A Systematic Literature Review of Retrieval-Augmented Generation: Techniques, Metrics, and Challenges
arXiv:2508.06401v3 Announce Type: replace-cross Abstract: This systematic review of the research literature on retrieval-augmented generation...
A Survey on Training-free Alignment of Large Language Models
arXiv:2508.09016v1 Announce Type: new Abstract: The alignment of large language models (LLMs) aims to ensure...
A Survey on Latent Reasoning
arXiv:2507.06203v2 Announce Type: replace Abstract: Large Language Models (LLMs) have demonstrated impressive reasoning capabilities, especially...
A Survey on (M)LLM-Based GUI Agents
arXiv:2504.13865v2 Announce Type: replace-cross Abstract: Graphical User Interface (GUI) Agents have emerged as a transformative...
A Survey of Context Engineering for Large Language Models
arXiv:2507.13334v1 Announce Type: new Abstract: The performance of Large Language Models (LLMs) is fundamentally determined...
A Survey of Classification Tasks and Approaches for Legal Contracts
arXiv:2507.21108v1 Announce Type: new Abstract: Given the large size and volumes of contracts and their...
A Simple Ensemble Strategy for LLM Inference: Towards More Stable Text Classification
arXiv:2504.18884v2 Announce Type: replace Abstract: With the advance of large language models (LLMs), LLMs have...
A Rigorous Evaluation of LLM Data Generation Strategies for Low-Resource Languages
arXiv:2506.12158v3 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly used to generate synthetic...
A new paradigm for AI: How ‘thinking as optimization’ leads to better general-purpose models
A new AI model learns to “think” longer on hard problems, achieving more robust reasoning...
