arXiv
Detection of Potato Plant Leaf Diseases using Convolutional Neural Networks
Potato is an important food-security crop in Ethiopia, but its production is affected by foliar diseases, particularl...
🤖 AI 前沿资讯
每天自动聚合 AI 领域最新动态
arXiv
PerSo: Investigating Facets of LLMs' Social Intelligence in Real-World Persuasion Scenarios
Understanding the social intelligence of large language models (LLMs) is increasingly important for applications invo...
arXiv
PhySGA: A Physics-Space Grounded Agentic Framework for Generalizable and Interactive 3D Composition
3D object composition is pivotal to digital content creation and robot simulation, while also serving as a critical t...
arXiv
Scaling Discovery Requires Forgetting
Automated research with LLM agents has shown promising results in various domains. Through iterative refinement and s...
arXiv
Recovering Reliable Supervision via Critique-Guided On-Policy Distillation
On-policy distillation (OPD) trains a student model on its own rollouts with token-level supervision from a teacher, ...
arXiv
Beyond LLM Judge: Mechanical Verification for Agentic Autoformalization
We introduce a novel method for verifying Lean formalizations that goes beyond LLM-judged faithfulness. Unlike most v...
arXiv
One Task, Many Interfaces: Simple Cross-Interface Consistency Training Improves LLM Agent Robustness
Post-training binds the competence of an LLM agent to the interface it was trained on. Semantics-preserving perturbat...
arXiv
Player-1: Learning to Play from Synthetic Experience
Computer-use agents have demonstrated strong capabilities in interpreting screens and executing keyboard and mouse ac...
arXiv
Continuum Attention
We introduce Continuum Attention (CA), a causal Transformer attention operator that replaces discrete key and value l...
arXiv
Price of Anarchy of First-Price Auctions in Agentic Markets
An agentic market is a decentralized serving-time market where AI agents bid to claim each user prompt. An agent's bi...
arXiv
Your Transformer Is Secretly Elastic
Scaling up transformers has produced models with broad capabilities, deployed across heterogeneous hardware and fluct...
arXiv
Co-Evolving Acting and Forecasting for Language Agents
Training language agents is bottlenecked by the high cost of long-horizon rollouts, yet standard agentic reinforcemen...