| 1 |
Sensorium: An Open-Source Multimodal Data Collection and Curation Library for Embodied Surgical AI |
提出Sensorium以解决多模态外科数据收集难题 |
multimodal |
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| 2 |
With foundation-model features, aggregator complexity does not improve cross-hospital discrimination in gastric whole-slide image classification |
提出CHIME-MIL以解决跨医院胃癌全切片图像分类问题 |
foundation model |
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| 3 |
ID2Pattern: Pretraining Generalizable Identity Behavior Patterns for Transaction Risk Foundation Models |
提出ID2Pattern以解决在线支付系统身份行为模式识别问题 |
foundation model |
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| 4 |
Prune Gradually, Adapt Sparsely: Efficient Pruning of Large Language Models at Extreme Sparsity |
提出ETAPS以解决大语言模型高稀疏性下的质量保持问题 |
large language model |
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| 5 |
General-purpose foundation models surpass specialized ones on chemical property prediction tasks |
通用基础模型在化学性质预测任务中超越专业模型 |
foundation model |
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| 6 |
RECAST: REconstruction of Chain-of-Thought via Auditable Structured Traces |
提出RECAST框架以重建闭源模型的推理过程 |
chain-of-thought |
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| 7 |
Advancing Clinical Trial Outcome Prediction with Domain-Specific Large Language Models |
提出领域特定的大语言模型以提升临床试验结果预测 |
large language model |
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| 8 |
Specification-Guided Generation for Large Language Models |
提出神经符号框架以解决大语言模型的规范满足问题 |
large language model |
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| 9 |
Do Transaction Prices Reflect Visual Preference? A Diagnostic Study with Multimodal Language Models |
提出MarketImage框架以解决交易价格与视觉偏好识别问题 |
multimodal |
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| 10 |
Experts Exhibit Structured Redundancy: Structure-Preserving Expert Pruning for Mixture-of-Experts Large Language Models |
提出结构保留专家剪枝方法以优化MoE大语言模型 |
large language model |
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| 11 |
QUAL: Quantile Alignment Improves Zero-Shot Time-Series Foundation Models |
提出QUAL以改善零-shot时间序列基础模型的预测准确性 |
foundation model |
✅ |
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| 12 |
TradeWar: A Benchmark for Execution-Grounded Trade Negotiation with Adaptive LLM Agents |
提出TradeWar基准以解决执行导向的贸易谈判问题 |
large language model chain-of-thought |
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| 13 |
ImplicitHop: Evaluating knowledge integration across context and memory |
提出ImplicitHop以评估知识在上下文和记忆中的整合能力 |
large language model chain-of-thought |
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| 14 |
From the Zoo to the BULLPEN: Sample-Efficient LLM Profiling via Multi-Channel Model Embeddings |
提出BULLPEN框架以高效评估大型语言模型的行为特征 |
large language model |
✅ |
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| 15 |
ACCT: Asymmetric Cross-LLM Context Transfer |
提出ACCT以解决跨模型上下文重用的计算成本问题 |
large language model |
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| 16 |
ReX-GG: a LLM Ensemble Pipeline for Relation-extraction and Graph Generation |
提出ReX-GG以解决关系提取与图生成中的模型脆弱性问题 |
large language model |
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| 17 |
Automated Keyword Generation Using LLMs in a High-Volume Data Virtualization Service |
提出基于大语言模型的自动关键词生成方法以优化数据虚拟化服务 |
large language model |
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| 18 |
AI evaluators favor job applications written by certain AI models, independent of candidate quality |
提出多模型审计框架以解决AI招聘筛选中的偏见问题 |
large language model |
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| 19 |
Breaking Information Islands in Sparse Tuning via Small-World Connectivity |
提出SWIFT以解决稀疏调优中的信息孤岛问题 |
large language model |
✅ |
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| 20 |
Real Computation or Merely Naming? A Pre-Registered Mechanism Audit of 25 Cognitive-Architecture Modules in an LLM-Based Agent System |
提出四问审计协议以验证LLM代理系统的认知模块机制 |
large language model |
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| 21 |
Multi-Test Nation Bias Benchmarking of LLMs with Explicit Unbiased Baselines |
提出多测试国家偏见基准以评估大型语言模型的偏见问题 |
large language model |
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| 22 |
When Safety Checks Become Privacy Risks: A Privacy-Preserving Paradigm for LLM Agent Safety Auditing |
提出隐私保护审计范式以解决LLM代理安全性问题 |
large language model |
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| 23 |
SERIAL-7: Deriving, Realizing, and Preserving Machine-Verifiable Outputs Across Representations |
提出SERIAL-7以解决机器可验证输出生成问题 |
large language model |
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| 24 |
Self-Improvement with Auxiliary Rewards: Learning from Verified Traces and Evaluating Transfer |
提出辅助奖励机制以提升小语言模型自我改进能力 |
instruction following |
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| 25 |
TRIDENT and SHAKTI: A Framework and Benchmark for Hindi AI-Text Detection |
提出SHAKTI基准与TRIDENT框架以解决印地语AI文本检测问题 |
large language model |
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| 26 |
ROSTrans: Empirically Benchmarking LLMs for ROS1-to-ROS2 Migration |
提出ROSTrans以评估大语言模型在ROS1到ROS2迁移中的表现 |
large language model |
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| 27 |
LLM Detoxification via Transition-Aware Reward-Guided Representation Sampling |
提出TARGRS以解决大语言模型生成有毒内容的问题 |
large language model |
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| 28 |
When Disclosure Is Compulsory: Evaluating Ride-Hailing Rebalancing Policies with Self-Interested LLM Driver Agents |
利用自利型LLM代理评估强制披露下的网约车再平衡政策 |
large language model |
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| 29 |
Calibration of Large Model Quantization based on HiFloat4 Format |
提出基于HiFloat4格式的模型量化校准方法以提升推理精度 |
large language model |
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| 30 |
CIRCE Divines LLM Task Complexity from Constraint Structure |
提出CIRCE以评估LLM任务复杂性 |
large language model |
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