| 1 |
Layers, Sinks, and Scaling: Adaptive Evidence Selection for Multimodal Large Language Models |
提出自适应证据选择方法以提升多模态大语言模型性能 |
large language model multimodal |
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| 2 |
RepoAtlas: Guiding Coding Agents via Evolving Multimodal Repository Views |
提出RepoAtlas以解决代码库问题定位与上下文维护难题 |
large language model multimodal |
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| 3 |
Do LLMs Have Values? A Quantitative Analysis and Alignment Framework for Values in Large Language Models |
提出PEC框架以解决大语言模型价值观对齐问题 |
large language model chain-of-thought |
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| 4 |
Integrating the Analytic Hierarchy Process with Large Language Models for Transparent Multi-Criteria Decision-Making |
将层次分析法与大语言模型结合以提升决策透明度 |
large language model |
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| 5 |
VideoMM: Adaptive Macro-Micro Inference for Efficient Video MLLMs |
提出VideoMM以解决长视频理解中的视觉令牌爆炸问题 |
large language model multimodal |
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| 6 |
Sparse MLLM Anchors, Dense Adaptation: Breaking the Self-Referential Loop in Wild Test-Time Adaptation |
提出MASA方法以解决野外测试时适应中的自我参考循环问题 |
large language model multimodal |
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| 7 |
little m: An AI Agent for Industrial Process Optimization |
提出little m以解决工业过程优化建模问题 |
large language model multimodal |
✅ |
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| 8 |
Bridging Learned Visual Perception and Symbolic Belief-Space Planning |
提出VLM作为概率基础的规划方法以解决不确定性问题 |
foundation model |
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| 9 |
CoAdapt: An LLM-based Framework for Adaptive Collaborative Perception in IIoT Robotic Swarms |
提出CoAdapt框架以解决IIoT机器人群体适应性协作感知问题 |
large language model |
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| 10 |
Neuro-Symbolic Hierarchical Intention Anticipation in Human Behavior |
提出神经符号层次意图预测以解决人类行为理解问题 |
multimodal |
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| 11 |
LimiX-2: A Contextual Mechanism Network Towards General Structured-Data Intelligence |
提出LimiX-2以解决结构化数据智能问题 |
foundation model |
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| 12 |
Self-Emergence Agent Architecture:Behavior-Inertia HMM, Reflexive Metacognition,and Social-Contrastive Self-Modeling |
提出自涌现代理架构以解决LLM代理的结构性局限 |
large language model |
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| 13 |
From Transient Prompts to Persistent Control: Scientific Poster Generation via Recursive Semantic-Geometric Contracts |
提出PosterVisor框架以解决科学海报生成中的控制问题 |
multimodal |
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| 14 |
End-to-End Latency-Minimizing and Load-Balanced Request Scheduling for Edge LLM Inference in Agentic AI Services |
提出LYREO方法以解决边缘LLM推理中的请求调度问题 |
large language model |
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| 15 |
FirmCORe: A Benchmark for Structured Reasoning about Inter-Firm Collaboration Opportunities |
提出FirmCORe以解决企业间合作机会识别问题 |
large language model |
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| 16 |
FlexEE: Self-Speculative and KV-Compatible Early Exiting for Offloading-Aware LLM Inference |
提出FlexEE以解决资源受限下的LLM推理效率问题 |
large language model |
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| 17 |
Can We Do Interpretable NLI with Graphs Based on Atomic Propositions? |
提出图基推理方法以实现可解释的自然语言推理 |
large language model |
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| 18 |
Available but Unclaimed: An Empirical Study of Human-AI Synergy |
研究人机协同,提升大语言模型的应用效果 |
large language model |
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| 19 |
A Framework for Generating Valid Context-Specific Benchmarks through Expert Guidance |
提出一种框架以生成有效的上下文特定基准数据集 |
large language model |
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| 20 |
Protocol-Preserving Context Trimming for Agentic Workflows: Benefits, Failure Regimes, and Budget Guardrails |
提出协议保留的上下文修剪以提高多步骤代理工作流的可靠性 |
large language model |
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| 21 |
Fine-Tuning Fixes Mode Collapse and Over-Dispersion in LLMs |
提出细化调优以解决大语言模型的模式崩溃与过度分散问题 |
large language model |
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