…Anchor-Constrained Perceptual Optimization for Diffusion Models with No-Reference Quality Guidance (2026) Aligning Multimodal Sequential Recommendations via Robust Direct Preference Optimization with Sparse MoE (2026) Dual Consensus: Escaping from Spurious Majority…
…final performance. AI-generated summary Reinforcement learning has emerged as a powerful tool for improving diffusion-based text-to-image models, but existing methods are largely limited to single-task optimization. Extending…
…While recent multi-step reasoning approaches show promise, they are hindered by ungrounded planning hallucinations lacking verification, monolithic post-hoc reflection, long-context optimization instabilities, and prohibitive inference latency. To overcome these…
…Zeyu Huang , , , , , , Abstract Context optimization methods enhanced with active information seeking via search and browser tools achieve superior performance across diverse domains while maintaining data efficiency and robustness. AI-generated summary Most…
Papers arxiv:2604.27151 Step-level Optimization for Efficient Computer-use Agents Published on Apr 29 Submitted by Jinbiao Wei on May 1 Yale NLP Lab Authors: , Kangqi Ni , Yilun Zhao , , Abstract…
…Xingyu Qu , , Abstract Optimizer mismatch between Adam and Muon during fine-tuning degrades performance due to differing implicit biases, but this can be mitigated using parameter-efficient fine-tuning methods like LoRA…
…the supervisory signal? Does the optimal choice vary from one token to the next? At present, addressing these questions typically requires costly training runs whose aggregate performance metrics obscure the dynamics at…
…Autonomous Preference Optimization (APO) is proposed to address reasoning alignment challenges in multi-modal large language models under concept drift conditions, achieving improved robustness and performance through constraint-aware optimization techniques. AI…
…In contrast, in-context learning with fixed LLM parameters can cheaply and rapidly adapt to task-specific requirements (e.g., prompt optimization), but cannot by itself typically match the performance gains available…
Papers arxiv:2604.26326 Addressing Performance Saturation for LLM RL via Precise Entropy Curve Control Published on May 10 Submitted by Bolian Li on May 12 Purdue University Authors: Bolian Li , Yifan…