| 1 |
Can Linguistic Reasoning Vectors Enhance Multimodal Reasoning Ability? |
提出LIFT方法以恢复多模态模型的语言推理能力 |
large language model multimodal |
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| 2 |
Training Graph Foundation Models on The Web Graph |
提出Acacia模型以解决图基础模型的训练局限性 |
foundation model |
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| 3 |
EXAONE Demand 1.0: A Time Series Foundation Model for Demand Forecasting |
提出EXAONE Demand以解决需求预测中的数据稀缺问题 |
foundation model |
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| 4 |
Neural State Prediction: Obstructing Shortcut Learning in EEG Foundation Models |
提出神经状态预测以解决EEG模型中的快捷学习问题 |
foundation model |
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| 5 |
BAT-CLIP: Trimodal Alignment of Brain, Audio and Text |
提出BAT-CLIP以解决多模态脑-音频-文本对齐问题 |
foundation model multimodal |
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| 6 |
Prompt Minimization: Reducing Input Redundancy Without Sacrificing Output Fidelity |
提出提示最小化方法以减少输入冗余而不牺牲输出保真度 |
large language model |
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| 7 |
Game Arena: Strategic LLM Evaluation in Competitive Environments |
提出Kaggle游戏竞技场以评估大型语言模型的策略能力 |
large language model |
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| 8 |
Segment-Level Agentic Topic Modeling for Improved Data Exploration and Resource Efficiency |
提出SeLATM以解决LLM主题建模中的资源消耗问题 |
large language model |
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| 9 |
Towards Mitigating Fabricated Consensus: The Active Provenance Gate for Multi-Agent Debate Synthesis |
提出主动来源门以解决多智能体辩论合成中的虚假共识问题 |
large language model |
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| 10 |
Intent2Tc: Automated Intent-to-Traffic Control Translation with Language Models |
提出Intent2Tc以解决高层服务意图与网络配置间的翻译问题 |
large language model |
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| 11 |
Mutable Transcripts: Mitigating Context Pollution through Editable Conversation State |
提出可编辑对话状态以缓解上下文污染问题 |
large language model |
✅ |
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| 12 |
Beyond Approved Actions: Runtime Validation of Persistent Outcomes in Agent Workflows |
提出EffectMatch以解决代理工作流中的持久结果验证问题 |
large language model |
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| 13 |
DIAL: Position-Debiased LLM Judges with Adaptive Human Preference Calibration |
提出DIAL框架以解决LLM评判中的位置偏差问题 |
large language model |
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| 14 |
Rethinking Data Quality for AI-Driven Systems: Evidence from Practitioner Interviews |
提出数据质量管理框架以应对AI驱动系统中的信任问题 |
foundation model |
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| 15 |
OmouAI: Argumentative Human-AI Policy Deliberation with Simulated Personas |
提出OmouAI以解决高风险环境中的人机政策辩论问题 |
large language model |
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| 16 |
Externalized CPDAG Summaries Improve LLM Causal Deduction |
提出结构化思维以提升大语言模型的因果推断能力 |
chain-of-thought |
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| 17 |
Cheap, open agents make LLM pollution harder to mitigate |
提出开放代理以应对大型语言模型污染问题 |
large language model |
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| 18 |
Same Text, Different Numbers: The Divergence of LLM-Based Measures |
探讨LLM模型选择对文本测量结果的影响 |
large language model |
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| 19 |
MoMHa: Multi-Objective Optimization of LLM Harnesses over Accuracy, Safety, and Tokens |
提出MoMHa以解决大型语言模型的多目标优化问题 |
large language model |
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| 20 |
FTB Graph: Determining and Validating First-token Broadcasters and Language-Identity Head Circuits in Multilingual Language Models |
提出FTB图以解析多语言模型中的首个令牌广播机制 |
large language model |
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| 21 |
LogicTree-RAG: Logic Tree-guided Retrieval-Augmented Generation for Long-form Patent Drafting |
提出LogicTree-RAG以解决长篇专利撰写中的逻辑结构与技术推理问题 |
large language model |
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| 22 |
Why Jailbreaks Succeed in Diffusion Language Models: An Energy Landscape Analysis |
通过能量景观分析提出新方法以解释扩散语言模型的越狱成功原因 |
large language model |
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| 23 |
Evaluating Real-Time Voice Agents: From Component Quality to Grounded Outcomes |
提出TRG标准以评估实时语音代理的性能与效果 |
foundation model |
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| 24 |
A Framework for Identifying, Categorizing, and Explaining Bias in AI-Generated Code |
提出框架以识别、分类和解释AI生成代码中的偏见 |
large language model |
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