Notizie
Adopting agentic AI? Build AI fluency, redesign workflows, don’t neglect supervision
How can organizations decide how to use human-in-the-loop mechanisms and collaborative frameworks with AI agents?Read...
Adapting Web Agents with Synthetic Supervision
arXiv:2511.06101v1 Announce Type: cross Abstract: Web agents struggle to adapt to new websites due to...
Achieving Tokenizer Flexibility in Language Models through Heuristic Adaptation and Supertoken Learning
arXiv:2505.09738v1 Announce Type: new Abstract: Pretrained language models (LLMs) are often constrained by their fixed...
Accenture Research Introduce MCP-Bench: A Large-Scale Benchmark that Evaluates LLM Agents in Complex Real-World Tasks via MCP Servers
Modern large language models (LLMs) have moved far beyond simple text generation. Many of the...
Accent-Invariant Automatic Speech Recognition via Saliency-Driven Spectrogram Masking
arXiv:2510.09528v1 Announce Type: new Abstract: Pre-trained transformer-based models have significantly advanced automatic speech recognition (ASR)...
Accelerating Diffusion LLMs via Adaptive Parallel Decoding
arXiv:2506.00413v2 Announce Type: replace Abstract: The generation speed of LLMs are bottlenecked by autoregressive decoding...
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 Unlearning in Large Language Models
arXiv:2510.25117v1 Announce Type: new Abstract: The advancement of Large Language Models (LLMs) has revolutionized natural...
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...
