| 1 |
Recompose and Refine Latent Reasoning Flows for Vision-Language-Action Models |
提出FLOWMEM以解决VLA模型中的推理重用问题 |
vision-language-action VLA multimodal |
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| 2 |
GeoReform: Reflective Formalization Evolution for Multimodal Geometry Problem Solving |
提出GeoReform框架以解决多模态几何推理问题 |
large language model multimodal |
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| 3 |
From Surface to Depth: Towards Cognitive Appraisal Reasoning in Multimodal Emotion Understanding |
提出CogEmo框架以解决多模态情感理解中的表层推理问题 |
large language model multimodal |
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| 4 |
UniData: Universal Multimodal Instruction Generation Pipeline |
提出UniData以解决多模态指令生成的挑战 |
large language model multimodal |
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| 5 |
Internalizer: Portable Context-to-Parameter Mapping for Very Large Language Models |
提出Internalizer以实现超大语言模型的上下文到参数映射 |
large language model |
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| 6 |
Instruction-Conditioned Electromagnetic Spectrum Understanding via Budget-Adaptive Signal Tokenization |
提出BATok以解决电磁信号分析中的预算适应性问题 |
large language model multimodal language conditioned |
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| 7 |
OA-MAP: Evidence-Grounded Multi-Agent Multimodal Framework for Interpretable Knee Osteoarthritis Progression |
提出OA-MAP框架以解决膝关节骨关节炎进展预测问题 |
multimodal |
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| 8 |
From Chain-of-Thought to Loops: Non-Autoregressive Latent Reasoning via Looped Transformers |
提出LLoCoT框架以提升语言模型推理效率 |
chain-of-thought |
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| 9 |
RISR: Residual-Informed Scientific Equation Discovery with Large Language Models |
提出残差信息驱动的科学方程发现方法 RISR |
large language model |
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| 10 |
Can LLMs Fix It Without Code? Toward Automated Verification of No-Code Bug Fixes |
提出自动化验证方法以评估无代码修复的有效性 |
large language model multimodal |
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| 11 |
Overcoming Prior Barriers: Supervised Fine-Tuning under Long-Tail Distribution |
提出PASS方法以解决长尾分布下的监督微调问题 |
large language model |
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| 12 |
Prior or Feedback? What an LLM Uses When Adapting Neural Operators |
提出LLM反馈机制以优化神经算子适应性 |
large language model |
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| 13 |
RouterInterp: Understanding Superposed Specialisation in Mixture of Experts Routing |
提出RouterInterp以解决Mixture of Experts模型的可解释性问题 |
foundation model |
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| 14 |
Evaluating Local Language Model Agents for Reproducible Data Engineering: An Empirical Software Engineering Study of Mobility Workflows |
评估本地语言模型代理以支持可重复的数据工程工作 |
large language model |
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| 15 |
Closed-loop evaluation of LLM agents for embedded software development |
提出闭环评估基准以提升嵌入式软件开发中的LLM代理性能 |
large language model |
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| 16 |
When Lower Reconstruction Loss Hurts: Distributionally Robust Refinement for Low-Bit LLM Quantization |
提出分布鲁棒量化以解决低比特LLM量化性能下降问题 |
large language model |
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| 17 |
Looking Inside LLMs: Small-World Connectivity as a Signature of Reasoning Performance |
通过小世界连接性揭示LLM推理性能的结构特征 |
large language model |
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| 18 |
Use and Disuse: Intent-Structured Experience Consolidation for Memory and Learning in LLM Agents |
提出Hippocam以解决大语言模型代理的记忆与学习问题 |
large language model |
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| 19 |
Is Memorization Context-Sensitive? Prefix-Based Extraction Beyond Isolated Prefixes |
研究上下文对语言模型记忆提取的影响 |
large language model |
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| 20 |
Structure Tax: How Structured Output affects LLMs Performance |
提出结构化输出设计以优化大型语言模型性能 |
large language model |
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| 21 |
MAP4CS: A Multi-dimensional Data Pruning Framework for Efficient Code Retriever Fine-tuning |
提出MAP4CS以解决代码检索器微调中的数据冗余问题 |
large language model |
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| 22 |
Evidence-Traceable Dynamic Interviewer Architecture for Expertise-Adaptive Qualitative Interviews Using Local LLMs |
提出证据可追溯的动态访谈架构以解决适应性访谈问题 |
large language model |
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| 23 |
Where to Adapt Matters: Layer-Selective Fine-Tuning for Capability Retention |
提出层选择性微调以解决能力保留问题 |
large language model |
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| 24 |
AgentEvolver: System-Wide Self-Evolution Through Task Execution |
提出AgentEvolver以实现任务执行中的系统自我演化 |
foundation model |
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| 25 |
Memory Type Varies: Empowering LLM Agents for Long-Term Memory with Diverse Strategies |
提出MemoType以解决长时记忆检索策略多样性问题 |
large language model |
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| 26 |
Tracing the Thoughts of a Coding Agent Playing ARC-AGI-3: Lessons for Continual Learning |
提出一种测量协议以追踪编码代理在ARC-AGI-3中的学习过程 |
foundation model |
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| 27 |
Mine Odyssey: Benchmarking Spatial Agentic Intelligence in the Wild |
提出Mine Odyssey基准以评估空间智能代理在真实环境中的表现 |
foundation model |
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| 28 |
GameCommBench: A Unified Benchmark and Type-Aware Evaluation for AI-Generated Game Commentary |
提出GameCommBench以解决AI生成游戏评论的评估问题 |
multimodal |
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| 29 |
SpireBench: Evaluating Long-Horizon Strategic Play of Agentic Models with Slay the Spire |
提出SpireBench以评估智能模型的长期战略游戏能力 |
large language model |
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| 30 |
Semantic Views: Certified Reuse of LLM Labels Across Semantic Queries |
提出SemViews以解决语义查询中的标签重用问题 |
large language model |
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| 31 |
Faithful and Complete LLM-Assisted Automated Construction of Hierarchical Hardware Knowledge Graphs |
提出基于LLM的自动化方法以构建层次化硬件知识图谱 |
large language model |
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| 32 |
Know What You Don't Know: Agentic Data Synthesis by Evolving Generation Space for Closed-Loop Learning |
提出EvoSyn以解决交互代理数据合成中的反馈决策差距问题 |
large language model |
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| 33 |
Characterizing Overconfident Failure in LLM-Based Code Generation |
研究LLM代码生成中的过度自信失败问题 |
large language model |
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| 34 |
AliO: Output Alignment Matters in Long-Term Time Series Forecasing |
提出AliO以解决长时间序列预测中的输出对齐问题 |
TAMP |
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| 35 |
Language Modeling is Monotone Compression |
提出语言建模作为单调压缩以探讨智能与压缩的关系 |
large language model |
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| 36 |
Intent Graph: Navigating the Analytical Reasoning Space for Exploratory Data Analysis |
提出DAG-EDA以解决探索性数据分析中的导航问题 |
large language model |
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