| 1 |
Aligning Quantum Operators with Large Language Models |
提出量子算子与大语言模型对齐的方法以解决量子表示理解问题 |
large language model foundation model language conditioned |
|
|
| 2 |
Reasoning for Mobile User Experience with Multimodal LLMs: Task, Benchmark, and Approach |
提出UXBench以评估多模态大语言模型在用户体验中的推理能力 |
large language model foundation model multimodal |
|
|
| 3 |
Multi-Modal Agents for Power Distribution Defect Detection: An Evaluation of Foundation Models |
提出多模态智能体框架以解决电力分配缺陷检测问题 |
foundation model multimodal |
|
|
| 4 |
Automated reproducibility assessments in the social and behavioral sciences using large language models |
利用大型语言模型自动化社会与行为科学的可重复性评估 |
large language model |
|
|
| 5 |
Why Sampling Is Not Choosing: Intentionality, Agency, and Moral Responsibility in Large Language Models |
探讨大型语言模型的意图性与道德责任问题 |
large language model |
|
|
| 6 |
ARMOR-MAD: Adaptive Routing for Heterogeneous Multi-Agent Debate in Large Language Model Reasoning |
提出ARMOR-MAD以解决多代理辩论中的计算浪费问题 |
large language model |
|
|
| 7 |
PRISMR: Overcoming Parse Collapse in Multimodal Listwise Ranking via Parameterized Representation Internalization |
提出PRISMR以解决多模态列表排名中的解析崩溃问题 |
multimodal |
|
|
| 8 |
GeoNatureAgent Benchmark: Benchmarking LLM Agents for Environmental Geospatial Analysis Across Frontier and Open-Weight Foundation Models |
提出GeoNatureAgent基准以评估环境地理空间分析的LLM代理 |
foundation model |
|
|
| 9 |
MLUBench: A Benchmark for Lifelong Unlearning Evaluation in MLLMs |
提出MLUBench以解决多模态大语言模型的终身遗忘问题 |
large language model multimodal |
✅ |
|
| 10 |
Adaptive Turn-Taking for Real-time Multi-Party Voice Agents |
提出ModeratorLM以解决多方语音代理的轮流发言问题 |
large language model chain-of-thought |
|
|
| 11 |
Hallucination in Medical Imaging AI: A Cross-Modality Analytical Framework for Taxonomy, Detection, and Mitigation under Regulatory Constraints |
提出跨模态分析框架以解决医学影像AI中的幻觉问题 |
foundation model chain-of-thought |
|
|
| 12 |
TerraBench: Can Agents Reason Over Heterogeneous Earth-System Data? |
提出TerraBench以解决异构地球系统数据推理问题 |
large language model foundation model |
|
|
| 13 |
VHDLSuite: Unified Pipeline for LLM VHDL Generation with Data Synthesis and Evaluation |
提出VHDLSuite以解决VHDL生成评估不足的问题 |
large language model |
|
|
| 14 |
Zero-source LLM Hallucination Detection with Human-like Criteria Probing |
提出人类标准探测机制以解决零源LLM幻觉检测问题 |
large language model |
✅ |
|
| 15 |
Sorries Are Not the Hard Part: An Expert-Review Case Study of a Semi-Autonomous Formalization |
提出半自主形式化方法以解决定理验证中的可重用性问题 |
large language model |
|
|
| 16 |
A Multi-Agent AI System for Automated High School Transcript Processing: Collaborative Document Analysis at Scale |
提出多智能体AI系统以自动化处理高中成绩单问题 |
multimodal |
|
|
| 17 |
SpheriCity: Designing Trustworthy Conversational AI for Sustainability Decision Support |
提出SpheriCity以解决可持续性决策支持中的信任问题 |
large language model |
|
|
| 18 |
MA-ProofBench: A Two-Tiered Evaluation of LLMs for Theorem Proving in Mathematical Analysis |
提出MA-ProofBench以解决数学分析领域定理证明评估不足问题 |
large language model |
|
|
| 19 |
Agents-K1: Towards Agent-native Knowledge Orchestration |
提出Agents-K1以解决科学知识编排不足的问题 |
multimodal |
|
|
| 20 |
A Three-Layer Framework for AI in Scientific Discovery |
提出三层框架以提升科学发现中的AI能力 |
large language model |
|
|
| 21 |
SEVRA-BENCH: Social Engineering of Vulnerabilities in Review Agents |
提出SEVRA-BENCH以评估自动化代码审查中的社会工程漏洞 |
large language model |
|
|
| 22 |
AgentRivet: an automated system for producing Rivet routines from journal publications |
提出AgentRivet以自动生成Rivet例程解决分析覆盖不足问题 |
large language model |
|
|
| 23 |
Mod-Guide: An LLM-based Content Moderation Feedback System to Address Insensitive Speech toward Indigenous Ethnic and Religious Minority Communities |
提出Mod-Guide以解决对少数民族不敏感言论的内容审核问题 |
large language model |
|
|
| 24 |
MiniMax Sparse Attention |
提出MiniMax稀疏注意力以解决超长上下文计算问题 |
multimodal |
✅ |
|
| 25 |
Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents |
提出以利益相关者为中心的基准测试以解决网络代理的安全问题 |
large language model |
✅ |
|
| 26 |
Brick: Spatial Capability Routing for the Mixture-of-Models (MoM) Paradigm |
提出Brick以解决大规模LLM路由中的查询难度问题 |
multimodal |
|
|
| 27 |
Under What Conditions Can a Machine Be Called Genuinely Creative? |
提出机器创造力的十项要求框架以解决人机协作问题 |
foundation model |
|
|
| 28 |
Functional Cache Grafting: Robust and Rapid Code-Policy Synthesis for Embodied Agents |
提出功能缓存嫁接以解决代码策略生成的延迟与鲁棒性问题 |
large language model |
|
|
| 29 |
Democracy in the Era of Artificial Intelligence |
探讨人工智能如何提升民主治理与参与 |
large language model |
|
|
| 30 |
The Illusion of Multi-Agent Advantage |
提出多智能体系统评估新方法以解决性能误区问题 |
chain-of-thought |
|
|
| 31 |
Structured Testbench Generation for LLM-Driven HDL Design and Verification-Oriented Data Curation |
提出结构化测试平台生成框架以解决LLM驱动RTL设计验证问题 |
large language model |
✅ |
|
| 32 |
HarnessBridge: Learnable Bidirectional Controller for LLM Agent Harness |
提出HarnessBridge以解决长任务中代理与环境交互的效率问题 |
large language model |
|
|
| 33 |
DailyReport: An Open-ended Benchmark for Evaluating Search Agents on Daily Search Tasks |
提出DailyReport基准以评估搜索代理在日常搜索任务中的表现 |
large language model |
✅ |
|
| 34 |
Beyond Problem Solving: UOJ-Bench for Evaluating Code Generation, Hacking, and Repair in Competitive Programming |
提出UOJ-Bench以评估代码生成、黑客攻击与修复能力 |
large language model |
|
|
| 35 |
(Human) Attention Is (Still) All You Need: Human oversight makes AI-assisted social science reliable |
提出人机协作经济研究框架以提升AI辅助社会科学研究的可靠性 |
large language model |
|
|