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ニュース

AFA-LoRA: Enabling Non-Linear Adaptations in LoRA with Activation Function Annealing

arXiv:2512.22455v1 Announce Type: cross Abstract: Low-Rank Adaptation (LoRA) is a widely adopted parameter-efficient fine-tuning (PEFT)...

AegisLLM: Scaling LLM Security Through Adaptive Multi-Agent Systems at Inference Time

The Growing Threat Landscape for LLMs LLMs are key targets for fast-evolving attacks, including prompt...

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...

Advancing next-gen AI with materials science innovation

The conversation about AI often centers on algorithms, computing power, or huge investments in new...

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...

Adaptive Multi-Step Lookahead Decoding for Diffusion Language Models

arXiv:2607.15655v1 Announce Type: new Abstract: Masked diffusion language models (DLMs) enable parallel text generation by...

Adaptive Experimentation with Meta’s Ax: A Practical Coding Guide

In this tutorial, we explore adaptive experimentation using Meta’s Ax with the modern Client API...

Adaptive Decoding via Test-Time Policy Learning for Self-Improving Generation

arXiv:2603.18428v1 Announce Type: new Abstract: Decoding strategies largely determine the quality of Large Language Model...

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...

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