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20,515 papers
Results provide preliminary evidence that strategic preference optimization can improve strategic quality while preserving teacher-consistent behavior and compare it with SFT, DPO, GRPO, and GSPO.
It is reported that collaboration buys task performance but not lower hallucination as a rule, and no topology is reliably better than another; it is found that collaboration redistributes what its models can already do; it does not supply what they cannot.
SPEM is a lightweight structure-aware procedural memory framework for efficient skill use in LLM-based agents and achieves the best overall effectiveness--efficiency trade-off, reaching 87.1% ALFWorld success and 38.38% SkillsBench reward.
Improved hybrid planning requires modeling LLM behavior sensitive to predicate semantics rather than developing more structural predictors, and progressively rename predicates while preserving states, transitions, and optimal plans in STRIPS domains with BFS-optimal plan lengths.
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This work proposes LightCRS, a lightweight, query-conditioned framework for unified multi-domain multimodal conversational recommendation and achieves state-of-the-art average HR@1, NDCG@5, and MRR, improving HR@1 by 35.4\% over the strongest baseline while reducing per-query latency by 266 times.
MAMath-Bench is introduced, a process-aware benchmark designed to evaluate the multimodal mathematical reasoning capabilities of MASs, and finds that multi-agent collaboration does not consistently improve final-answer accuracy over strong single LLMs, and current systems remain vulnerable to adversarial reasoning erro...
This work introduces a bounded, online step-level repair module that feeds the compiler's error message to a pretrained repair model to fix individual rejected steps in place and improves the solve rate over a sampling-only baseline across all tested candidate budgets.
A structured reference for the design, development, and application of industrial agents is provided and a four-layer system architecture is proposed and detail its core modules and operational mechanisms for closed-loop task execution.
This work constructs DataPraxis-5K, a dataset of 5,000 verified trajectories spanning diverse domains and output formats, to train DataPraxis-27B and DataPraxis-35B-A3B, an analytics task synthesis framework based on verified workspace evolution.
MedPAO-Assist is presented, an edge-deployable agentic framework that generates structured radiology reports directly from radiologist dictation and voice commands, requiring only $\approx3.3$ GB peak RAM and achieving an average end-to-end latency of $\approx31$ seconds on a standard laptop CPU through an asynchronous...
This work is the first to propose a learning method for LLM-based circuit generation that optimizes, not the quality of a single circuit, but the quality and diversity of the entire circuit set obtained through multiple generations in the PPA objective space.
An enhanced soft actor-critic reinforcement learning algorithm is developed to plan actions for a mobile crane according to construction tasks and a large language model, ChatGPT 5, is used to update construction progress, provide safety information to control system, and generate construction progress reports.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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