…AI-generated summary Following the recent achievement of gold-medal performance on the IMO by frontier LLMs, the community is searching for the next meaningful and challenging target for measuring LLM reasoning…
…Many existing efficiency methods improve throughput by changing the rollout or optimization regime, for example, through off-policy execution, replay, or lower-precision generation. We study speculative decoding as a lossless acceleration…
…We then propose Forcing-KV, a hybrid KV cache compression strategy that performs structured static pruning for static heads and dynamic pruning based on segment-wise similarity for dynamic heads . While maintaining…
…Entropy-Progress Aligned Group Relative Policy Optimization with Implicit Process Guidance (2026) ResRL: Boosting LLM Reasoning via Negative Sample Projection Residual Reinforcement Learning (2026) T$^2$PO: Uncertainty-Guided Exploration Control for…
…Using Direct Preference Optimization , we encourage models to prefer attribute-affordance reasoning grounded in visual evidence over hallucinated alternatives. In addition, we incorporate supervision derived from an affordance knowledge base to guide…
…which skill protocol to invoke, which agent role should perform a subtask, which model to bind to each role, how roles should interact, when to use retrieval or verification, and when to…
…Experiments demonstrate that fine-tuned Qwen3-VL-8B-Instruct achieves robust performance, significantly outperforming text-based baselines in scenarios requiring visual layout understanding, while establishing a retriever-agnostic solution for pixel-level…
…We synthesize methodological foundations, including modality tokenization , cross-modal fusion , autoregressive and diffusion-based generation , large-scale pretraining , instruction alignment , and preference optimization . Furthermore, we curate representative datasets, benchmarks, and evaluation metrics…
…Across AFTraj-2K and an external Who\&When benchmark, AgentForesight-7B outperforms leading proprietary models, including GPT-4.1 and DeepSeek-V4-Pro , achieving up to +19.9% performance gain and 3times…
…Siyuan Guo , , , , Abstract Deployment-time learning enables large language model agents to adapt continuously during operation through episodic memory and contextual bandit optimization, improving performance across diverse tasks. AI-generated summary Large…