| 1 |
Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval |
综述图与大语言模型及Agent的集成方法,提升推理与检索能力。 |
large language model multimodal |
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| 2 |
LLM Reasoning Is Latent, Not the Chain of Thought |
重新审视LLM推理:潜在状态轨迹而非显式思维链 |
large language model chain-of-thought |
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| 3 |
Using Large Language Models and Knowledge Graphs to Improve the Interpretability of Machine Learning Models in Manufacturing |
利用大语言模型和知识图谱提升机器学习模型在制造业中的可解释性 |
large language model |
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| 4 |
Structured Abductive-Deductive-Inductive Reasoning for LLMs via Algebraic Invariants |
提出基于代数不变性的结构化归纳-演绎-归纳推理框架,提升LLM的逻辑推理能力 |
large language model chain-of-thought |
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| 5 |
ReactBench: A Benchmark for Topological Reasoning in MLLMs on Chemical Reaction Diagrams |
ReactBench:化学反应图上的MLLM拓扑推理基准测试 |
large language model multimodal |
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| 6 |
CodeMMR: Bridging Natural Language, Code, and Image for Unified Retrieval |
提出CodeMMR,用于统一检索自然语言、代码和图像的多模态代码信息检索。 |
multimodal visual grounding |
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| 7 |
Learning to Reason with Insight for Informal Theorem Proving |
提出DeepInsightTheorem框架以解决非正式定理证明中的洞察力不足问题 |
large language model |
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| 8 |
SocialGrid: A Benchmark for Planning and Social Reasoning in Embodied Multi-Agent Systems |
SocialGrid:用于具身多智能体系统中规划与社会推理的基准测试环境 |
large language model |
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| 9 |
Neurosymbolic Repo-level Code Localization |
提出LogicLoc,结合神经符号推理解决代码库级代码定位中的关键词作弊问题。 |
large language model |
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| 10 |
Polarization by Default: Auditing Recommendation Bias in LLM-Based Content Curation |
研究揭示LLM内容推荐中的极化偏见,并分析不同提示策略和平台的影响 |
large language model |
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| 11 |
Stein Variational Black-Box Combinatorial Optimization |
提出基于Stein变分推理的黑盒组合优化方法,提升复杂问题求解能力。 |
multimodal |
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| 12 |
HYPERHEURIST: A Simulated Annealing-Based Control Framework for LLM-Driven Code Generation in Optimized Hardware Design |
提出基于模拟退火的HYPERHEURIST框架,优化LLM生成硬件设计的功耗、性能和面积。 |
large language model |
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