…Xiaoyu Yang , , , Abstract A novel framework called 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…
…https://huggingface.co/zhuhz22/Causal-Forcing And the full-stack open-source code: https://github.com/thu-ml/Causal-Forcing We release 2-step frame-wise AR model with 50% latency and…
…Self-Evaluated Process Rewards for Retrieval-Augmented Agents (2026) Improving Search Agent with One Line of Code (2026) Enhancing LLM-based Search Agents via Contribution Weighted Group Relative Policy Optimization (2026) PRAISE…
…Hope that helps 🤗 great job! i would like to repeat this with my so100 arm, do you have the remote inference code? I don't understand why robotic models are not…
…Lungchuan Chen Abstract A memory-augmented transformer architecture called Mela incorporates hierarchical memory modules inspired by human memory consolidation processes, enabling improved long-context language modeling through multi-granularity memory representations. AI…
…Across math, science, code, and creative writing benchmarks, ESamp improves diversity and Pass@k efficiency while preserving strong throughput through an asynchronous implementation in tLLM. We hope ESamp can be a useful…
…Our code is available at https://github.com/IST-DASLab/MatryoshkaLoRA. View arXiv page View PDF GitHub 1 Add to collection Community We propose MatryoshkaLoRA , a general, Matryoshka-inspired training framework for…
…An ECAPA+GRL ablation shows the GRL objective improves either backbone but the WavLM choice contributes too. In synthetic multi-speaker diarisation , LASE matches ECAPA-TDNN on cross-script speaker recall (0…
…By combining rule-based verification (Math Verify) with LLM-based evaluation, we improve dataset quality while maintaining scale. The final dataset consists of 220k problems with verified reasoning traces, making it a…
…finally, something good about living in modern world, you guys are awesome! "...it is crucial to improve and simplify the way in which casual users deploy and access local models. We will…