| 1 |
Neuro-Symbolic Graph Transformers for Hierarchical Intention Recognition from Multimodal Human Activity Sequences |
提出神经符号图变换器以解决多模态人类活动序列的意图识别问题 |
multimodal |
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| 2 |
DTScribe: Generating Models for Digital Twin Reporting using Local Large Language Models |
提出DTScribe以自动化数字双胞胎报告模型生成 |
large language model |
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| 3 |
Rethinking Quality in Large Language Model Routing: Security-Conditioned Model-and-Budget Selection |
提出SCRouter以解决大语言模型路由中的安全性与效用问题 |
large language model |
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| 4 |
The Smart Buildings Challenge: Learning Foundation Models for Real-World Optimization at Scale |
提出建筑基础模型以解决建筑优化难题 |
foundation model |
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| 5 |
FedGraph: Defending Federated Large Language Model Fine-Tuning Against Backdoor Attacks via Graph-Based Aggregation |
提出FedGraph以解决联邦大语言模型微调中的后门攻击问题 |
large language model |
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| 6 |
How Reliable Are Large Language Models for Soil Organic Carbon Assessment? An Australian Benchmark |
评估大型语言模型在土壤有机碳评估中的可靠性 |
large language model |
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| 7 |
Chain of Thought Monitoring Can Fail Even When CoT Is Necessary |
提出四级层次结构以提升Chain of Thought监控的可靠性 |
chain-of-thought |
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| 8 |
Beyond Black Boxes: Visual Grounding for Text Embeddings |
提出基于草图的文本嵌入可视化方法以提升信息检索能力 |
visual grounding |
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| 9 |
Read the Room Before Your Model Generates |
提出Scenario-Actor框架以优化语言模型的温度选择 |
large language model instruction following |
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| 10 |
Mitigating Cross-Modal Hallucinations by Correcting Modality Misrouting in Omnimodal LLMs |
提出CaRe方法以解决多模态大语言模型中的模态误导问题 |
large language model multimodal |
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| 11 |
LLM Agents for Automated Post-Training via Structured Recipe Optimization |
提出结构化配方优化以实现大语言模型的自动后训练 |
large language model |
✅ |
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| 12 |
Training LLMs for Multi-Agent Collaboration with Verifiable Information Rewards |
提出CoSIR以解决多智能体协作中的信息共享问题 |
large language model |
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| 13 |
Degrees of Freedom in Multi-Agent Coordination: Between Centralized and Decentralized Regimes |
提出自由度框架以优化多智能体系统协调问题 |
large language model |
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| 14 |
SolBehave: Evaluating the Behavioural Correctness of LLM-Generated Smart Contracts |
提出SolBehave以评估LLM生成智能合约的行为正确性 |
large language model |
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| 15 |
Configuring RAG Systems: What Breaks, Where Originates, and How to Fix |
提出系统化配置分析以解决RAG系统配置问题 |
large language model |
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| 16 |
A Global View of How LLMs Value Human Time |
探讨大型语言模型如何评估人类时间价值 |
large language model |
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| 17 |
How Well Do LLMs Perform in Peer Review? Evidence from Finance and Accounting |
探讨大型语言模型在同行评审中的有效性 |
large language model |
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| 18 |
Choosing LLMs for Strategic Agent Interactions |
提出战略选择框架以优化LLM在博弈中的表现 |
large language model |
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| 19 |
Efficient Safety Guardrails through Latent Dual-Hypothesis Reasoning with On-Demand Trace Reconstruction |
提出LR-Guard以提高安全决策效率与可解释性 |
large language model |
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| 20 |
Output Discipline Sets the Floor: A Falsification-Guided, Model-Agnostic Agent Protocol for Auditable Hypothesis-Driven Decision Making |
提出模型无关的代理协议以增强假设驱动的决策过程 |
large language model |
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| 21 |
Beyond Answer Sharing: TrueMAD for Targeted Peer Engagement in Multi-Agent Debate |
提出TrueMAD以解决多代理辩论中的参与不足问题 |
large language model |
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| 22 |
Fresh at Decision, Stale at Action: Routing New Information to LLM Decisions Already Made |
提出时间戳理论以优化LLM决策的准确性与时效性 |
TAMP |
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| 23 |
Can Agents Forget When Asked? A Benchmark for Memory Unlearning in LLM Agents |
提出Bemula基准以解决大语言模型代理的记忆遗忘问题 |
large language model |
✅ |
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| 24 |
SpecCloak: Probing Harmful Code Generation through Engineering Specifications |
提出SpecCloak框架以探测有害代码生成问题 |
large language model |
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| 25 |
ECMR: Evidence-Aware Deliberation Control for Multi-Agent LLM Reasoning |
提出ECMR以解决多智能体LLM推理中的语义假共识问题 |
large language model |
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| 26 |
Diff Diffusion: Predicting Edit Paths with Diffusion Models for Efficient Code Editing |
提出Diff Diffusion以解决代码编辑中的高效编辑路径预测问题 |
large language model |
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