VeRO: An Evaluation Harness for Agents to Optimize Agents
arXiv:2602.22480v2 Announce Type: replace Abstract: An important emerging application of coding agents is agent optimization: the iterative improvement of a…
IConFace: Identity-Structure Asymmetric Conditioning for Unified Reference-Aware Face Restoration
arXiv:2605.02814v1 Announce Type: cross Abstract: Blind face restoration is highly ill-posed under severe degradation, where identity-critical details may be missing…
Reference-Sampled Boltzmann Projection for KL-Regularized RLVR: Target-Matched Weighted SFT, Finite One-Shot Gaps, and Policy Mirror Descent
arXiv:2605.02469v1 Announce Type: cross Abstract: Online reinforcement learning with verifiable rewards (RLVR) turns checkable outcomes into a scalable training signal,…
Boundary Mass and the Soft-to-Hard Limit in Mixture-of-Experts
arXiv:2605.02124v1 Announce Type: cross Abstract: Softmax-routed mixture-of-experts models approach hard routing as the temperature tends to zero, but this limit…
Reusability report: Meta-learning for antigen-specific T cell receptor binder identification
Nature Machine Intelligence, Published online: 06 May 2026; doi:10.1038/s42256-026-01236-6 He et al. comprehensively test the reusability of PanPep, a meta-learning…
AdaMeZO: Adam-style Zeroth-Order Optimizer for LLM Fine-tuning Without Maintaining the Moments
arXiv:2605.00650v1 Announce Type: cross Abstract: Fine-tuning LLMs is necessary for various dedicated downstream tasks, but classic backpropagation-based fine-tuning methods require…
G-reasoner: Foundation Models for Unified Reasoning over Graph-structured Knowledge
arXiv:2509.24276v4 Announce Type: replace Abstract: Large language models (LLMs) excel at complex reasoning but remain limited by static and incomplete…
Lightweight Domain Adaptation of a Large Language Model for Legal Assistance in the Indian Context
arXiv:2505.22003v2 Announce Type: replace-cross Abstract: In India, access to legal assistance for the general public has been observed to have…
ATLAS: Adaptive Trading with LLM AgentS Through Dynamic Prompt Optimization and Multi-Agent Coordination
arXiv:2510.15949v4 Announce Type: replace-cross Abstract: Large language models show promise for financial decision-making, yet deploying them as autonomous trading agents…
Reinforcement Learning with Markov Risk Measures and Multipattern Risk Approximation
arXiv:2605.00654v1 Announce Type: cross Abstract: For a risk-averse finite-horizon Markov Decision Problem, we introduce a special class of Markov coherent…