ข่าว
Adversarial Topic-aware Prompt-tuning for Cross-topic Automated Essay Scoring
arXiv:2508.05987v1 Announce Type: new Abstract: Cross-topic automated essay scoring (AES) aims to develop a transferable...
Advancing Single and Multi-task Text Classification through Large Language Model Fine-tuning
arXiv:2412.08587v2 Announce Type: replace Abstract: Both encoder-only models (e.g., BERT, RoBERTa) and large language models...
ADORE: Autonomous Domain-Oriented Relevance Engine for E-commerce
arXiv:2512.02555v1 Announce Type: new Abstract: Relevance modeling in e-commerce search remains challenged by semantic gaps...
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...
