| 1 |
Omnilingual-MsASR: Benchmarking Multimodal, Multilingual, Long-Form Multi-Speaker ASR of Omni Large Language Models |
提出Omnilingual-MsASR以解决多语种长视频多说话人ASR问题 |
large language model foundation model multimodal |
✅ |
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| 2 |
Mitigating Query Shortcuts in Chain-of-Thought with Context-Aware Decoding |
提出上下文感知解码以解决链式思维中的查询快捷问题 |
large language model chain-of-thought |
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| 3 |
A Large-Scale Evaluation of Role-Enhanced Zero-Shot Chain-of-Thought Prompting |
提出角色增强的零-shot思维链提示框架以提升推理能力 |
large language model chain-of-thought |
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| 4 |
Benchmarking Large Language Models for Detecting Satirical Code-Mixed Sentences |
提出合成代码混合句子的方法以提升讽刺检测能力 |
large language model chain-of-thought |
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| 5 |
Remembering Through Change: Provenance-Preserving Hypergraph Memory for Multimodal Agents |
提出MHG-Mem以解决多模态代理的长期记忆问题 |
multimodal |
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| 6 |
Investigating the Impact of Learner Errors on Social Bias in Large Language Models |
研究非母语者语法错误对大语言模型社会偏见的影响 |
large language model |
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| 7 |
OmniSimulator: Aligning Small Language Models for Authentic Heterogeneous Behavior Modeling |
提出OmniSimulator以解决小型语言模型用户模拟能力不足的问题 |
large language model chain-of-thought |
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| 8 |
Where Do LLMs Learn to Recommend AI? |
探讨大型语言模型推荐AI的来源及影响因素 |
large language model |
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| 9 |
Every Part Has Its Role: Part-of-Speech Effects in LLM Post-Training |
提出基于词性影响的概念增强方法以提升LLM性能 |
large language model |
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| 10 |
S-EDL: Eliciting Self-Evidence from Sequence Likelihoods for Semantic Calibration of LLMs |
提出S-EDL以解决大语言模型语义校准问题 |
large language model |
✅ |
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| 11 |
Retrieval Augmented Generation Compositionality |
提出LASAGNA框架以优化检索增强生成模型的评估 |
large language model |
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| 12 |
Memory-Centric Continual Learning for AI Agents |
提出记忆中心持续学习方法以解决自主智能体的学习瓶颈问题 |
foundation model |
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| 13 |
Beyond Binary Labels: Diagnostic Evaluation of LLM Safety with Prompt-Level Rubrics |
提出DiagSafe框架以解决LLM安全评估的不足问题 |
instruction following |
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| 14 |
ALIAS: Evaluating Performance and Memorization in LLM-Written TLA+ Specifications |
提出ALIAS方法评估LLM在TLA+规范中的表现与记忆化问题 |
large language model |
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| 15 |
Accept or Repair: Preserving Passage-Supported Answers in Contrastive Decoding |
提出Accept-or-Repair以解决语言模型回答准确性问题 |
large language model |
✅ |
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| 16 |
LLMs as survey respondents: Comparison to simple semantic baselines |
利用大型语言模型提升问卷调查响应的准确性 |
large language model |
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| 17 |
Beyond the Vote: When Do LLMs Add Value to Retrieval-Based Tabular Classification? |
比较LLM与距离加权KNN在表格分类中的价值 |
large language model |
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| 18 |
TenetBench: A Clause-Anchored Russian Corpus for Evaluating Language Models against Professional Codes of Ethics |
提出TenetBench以评估语言模型对职业伦理规范的遵守情况 |
large language model |
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| 19 |
DynaWeave: Learning to Adapt through Dynamic Scenario Synthesis |
提出DynaWeave以解决动态环境中任务适应性不足的问题 |
large language model |
✅ |
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