| 1 |
ANOLE: An Open, Autoregressive, Native Large Multimodal Models for Interleaved Image-Text Generation |
Anole:开放、自回归、原生的大型多模态模型,用于交错的图像-文本生成 |
large language model multimodal |
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| 2 |
An Empirical Study of Gendered Stereotypes in Emotional Attributes for Bangla in Multilingual Large Language Models |
首次探究多语言大模型中孟加拉语情感属性的性别刻板印象 |
large language model |
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| 3 |
DebUnc: Improving Large Language Model Agent Communication With Uncertainty Metrics |
DebUnc:利用不确定性指标改进大语言模型Agent的通信 |
large language model |
✅ |
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| 4 |
Large Language Model Recall Uncertainty is Modulated by the Fan Effect |
研究表明:大型语言模型表现出与人类相似的认知扇形效应,影响其回忆不确定性。 |
large language model |
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| 5 |
What's Wrong with Your Code Generated by Large Language Models? An Extensive Study |
深入分析大型语言模型代码生成缺陷,并提出自纠错迭代方法 |
large language model |
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| 6 |
Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models |
综述大型语言模型协同策略:融合、集成与合作 |
large language model |
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| 7 |
Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models |
提出PercepToM方法,提升大语言模型在心理理论任务中的表现 |
large language model |
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| 8 |
Limits to Predicting Online Speech Using Large Language Models |
研究表明大型语言模型预测在线用户发言仍面临挑战,个性化建模至关重要 |
large language model |
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| 9 |
Large Language Models for Judicial Entity Extraction: A Comparative Study |
利用大型语言模型进行司法实体抽取,提升法律文本信息处理效率。 |
large language model |
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| 10 |
Large Language Models Understand Layout |
研究表明大语言模型具备理解空间布局的能力,并可用于提升视觉问答系统性能。 |
large language model |
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| 11 |
Do Multilingual Large Language Models Mitigate Stereotype Bias? |
多语言训练有效缓解大型语言模型中的刻板印象偏见 |
large language model |
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| 12 |
Pruning Large Language Models to Intra-module Low-rank Architecture with Transitional Activations |
TransAct:通过模块内低秩架构剪枝LLM,降低激活值冗余 |
large language model |
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| 13 |
From Loops to Oops: Fallback Behaviors of Language Models Under Uncertainty |
研究LLM不确定性下的回退行为,揭示模型能力与回退模式的关联。 |
large language model instruction following |
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| 14 |
LLaMAX: Scaling Linguistic Horizons of LLM by Enhancing Translation Capabilities Beyond 100 Languages |
LLaMAX:通过增强百余种语言的翻译能力,扩展LLM的语言边界 |
large language model foundation model |
✅ |
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| 15 |
When is the consistent prediction likely to be a correct prediction? |
挑战自洽性理论:更长推理链而非最高频答案更可能正确 |
large language model chain-of-thought |
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| 16 |
When in Doubt, Cascade: Towards Building Efficient and Capable Guardrails |
提出级联式Guardrail模型构建方法,提升效率与能力,用于检测LLM的不良输出。 |
large language model |
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| 17 |
CodeUpdateArena: Benchmarking Knowledge Editing on API Updates |
CodeUpdateArena:API更新场景下代码大模型知识编辑的基准测试 |
large language model |
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| 18 |
Using Grammar Masking to Ensure Syntactic Validity in LLM-based Modeling Tasks |
提出语法掩码方法,确保LLM在建模任务中生成符合语法的模型 |
large language model |
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| 19 |
PAS: Data-Efficient Plug-and-Play Prompt Augmentation System |
PAS:数据高效的即插即用提示增强系统,提升LLM的易用性和有效性 |
large language model |
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| 20 |
KG-FPQ: Evaluating Factuality Hallucination in LLMs with Knowledge Graph-based False Premise Questions |
提出KG-FPQ,利用知识图谱自动生成虚假前提问题,评估LLM的事实性幻觉 |
large language model |
✅ |
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| 21 |
Is GPT-4 Alone Sufficient for Automated Essay Scoring?: A Comparative Judgment Approach Based on Rater Cognition |
提出基于比较判断的GPT-4自动作文评分方法,提升评分准确性 |
large language model |
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| 22 |
PsycoLLM: Enhancing LLM for Psychological Understanding and Evaluation |
PsycoLLM:增强LLM的心理理解与评估能力 |
large language model |
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| 23 |
InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct |
InverseCoder:利用逆向指令自提升指令调优的代码大语言模型 |
large language model |
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| 24 |
Open-world Multi-label Text Classification with Extremely Weak Supervision |
提出X-MLClass,解决极弱监督下的开放世界多标签文本分类问题。 |
large language model |
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| 25 |
Generative Debunking of Climate Misinformation |
提出一种基于大语言模型的框架,自动生成符合“真理三明治”结构的 climate change 错误信息辟谣内容。 |
large language model |
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