Text understanding and language tasks
I’ve been seeing more people talk about TeraBox lately, especially around storage for AI-related workflows. Curious if anyone here has us...
Unlike static, rules-based systems, AI agents can learn, adapt, and optimize processes dynamically. As they interact with data, systems, ...
I’ve been working on building an agentic AI workflow system for business use cases and one thing became very clear very quickly. This is ...
![[2602.12517] Bench-MFG: A Benchmark Suite for Learning in Stationary Mean Field Games](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
The paper presents Bench-MFG, a benchmark suite designed to standardize evaluations in learning for stationary Mean Field Games, addressi...
This paper presents a novel recovery-based shielding framework for safe reinforcement learning (RL) using Gaussian process dynamics model...
The paper introduces RankLLM, a framework for evaluating large language models (LLMs) by quantifying question difficulty, enhancing model...
CacheMind introduces a novel tool for cache replacement, leveraging natural language processing and trace-grounded reasoning to enhance C...
This article presents a reproducibility study of DragDiffusion, a method for interactive point-based image editing using diffusion models...
This article presents a novel approach, {}Belief-RL, for training agents to navigate uncertainty over long horizons by utilizing intrins...
The paper presents AgenticShop, a benchmark for evaluating agentic systems in personalized web shopping, addressing gaps in current evalu...
This article presents a multi-agent framework for generating physics simulation code from natural language descriptions, introducing a no...
This article presents a novel adaptive traffic signal control method utilizing Deep Q-Networks and Proximal Policy Optimization to enhanc...
This article presents a novel retrieval-augmented reasoning model designed to enhance named entity correction in automatic speech recogni...
The paper presents a novel scoring formula, Peak + Accumulation, for detecting multi-turn LLM attack patterns, addressing limitations in ...
This paper presents a lightweight framework for classifying humanitarian information from social media, enhancing disaster response effic...
This article introduces Language-Guided Invariance Probing (LGIP), a benchmark for evaluating the robustness of vision-language models (V...
This paper introduces a diagnostic benchmark for evaluating the robustness of reasoning models on parameterized logical problems, specifi...
This paper introduces McDiffuSE, a Monte Carlo Tree Search framework aimed at optimizing slot filling orders in Masked Diffusion Models, ...
This paper presents a scalable pipeline for generating high-quality training data for web agents, introducing a novel evaluation framewor...
The article discusses three official reviews of ACL ARR Jan 2026, presenting average scores for Overall Assessment and Confidence, prompt...
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We had to rate limit your IP (159.65.251.98). To continue using our service, create a HF account or login to your existing account, and m...
Get the latest news, tools, and insights delivered to your inbox.
Daily or weekly digest • Unsubscribe anytime