| 1 |
Comparing Generalization in Learning with Limited Numbers of Exemplars: Transformer vs. RNN in Attractor Dynamics |
比较Transformer与RNN在有限样本学习中的泛化能力 |
large language model |
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| 2 |
XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs |
提出XplainLLM以解决大型语言模型推理透明性问题 |
large language model |
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| 3 |
Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency Analysis |
通过因果公平分析探讨语言模型中的政治偏见归因 |
large language model |
✅ |
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| 4 |
Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization |
提出指令可控文本摘要基准以评估大型语言模型的生成与评估能力 |
large language model instruction following |
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| 5 |
MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning |
提出MMC数据集以解决图表理解中的多模态挑战 |
large language model multimodal |
✅ |
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| 6 |
Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization |
通过目标优先级整合防御大语言模型的越狱攻击 |
large language model instruction following |
✅ |
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| 7 |
GRASP: A novel benchmark for evaluating language GRounding And Situated Physics understanding in multimodal language models |
提出GRASP基准以评估多模态语言模型的语言基础与物理理解能力 |
large language model multimodal |
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| 8 |
The Role of Chain-of-Thought in Complex Vision-Language Reasoning Task |
提出链式思维方法以提升复杂视觉语言推理任务的性能 |
chain-of-thought |
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| 9 |
Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification |
提出Ever方法以实时验证和修正大语言模型的幻觉问题 |
large language model |
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| 10 |
Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models |
提出Zooter以解决大语言模型的高计算开销问题 |
large language model |
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| 11 |
When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour |
研究大型语言模型的谄媚行为及其对可靠性的影响 |
large language model |
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| 12 |
Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization |
研究修剪大语言模型中的幻觉现象以提升摘要生成效果 |
large language model |
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| 13 |
Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models |
提出Symbol-LLM以解决大型语言模型的符号知识理解问题 |
large language model |
✅ |
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| 14 |
Assessing Translation capabilities of Large Language Models involving English and Indian Languages |
评估大型语言模型在英印语言翻译中的能力 |
large language model |
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| 15 |
How Well Do Large Language Models Truly Ground? |
提出严格的基础定义以提升大型语言模型的可靠性 |
large language model |
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| 16 |
Identifying Linear Relational Concepts in Large Language Models |
提出线性关系概念以识别大语言模型中的人类可解释概念 |
large language model |
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| 17 |
Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Values |
提出基本价值对齐范式以解决大语言模型的价值定义问题 |
large language model |
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| 18 |
Can Large Language Models Follow Concept Annotation Guidelines? A Case Study on Scientific and Financial Domains |
研究大型语言模型在概念标注指南中的应用能力 |
large language model |
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| 19 |
Investigating the Emergent Audio Classification Ability of ASR Foundation Models |
提出无监督重标定方法以提升ASR模型的零-shot音频分类能力 |
foundation model |
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| 20 |
LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback |
提出LLMRefine以优化大语言模型输出质量 |
large language model |
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| 21 |
Contrastive Chain-of-Thought Prompting |
提出对比链式思维提示以增强语言模型推理能力 |
chain-of-thought |
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| 22 |
PsyEval: A Suite of Mental Health Related Tasks for Evaluating Large Language Models |
提出PsyEval以评估大型语言模型在心理健康领域的表现 |
large language model |
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| 23 |
ContraDoc: Understanding Self-Contradictions in Documents with Large Language Models |
提出ContraDoc以解决长文档中的自我矛盾问题 |
large language model |
✅ |
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| 24 |
Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers |
提出Pearl以解决大型语言模型个性化写作助手问题 |
large language model |
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| 25 |
CLEAN-EVAL: Clean Evaluation on Contaminated Large Language Models |
提出Clean-Eval以解决大语言模型评估中的数据污染问题 |
large language model |
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| 26 |
Exploring the Potential of Large Language Models in Computational Argumentation |
评估大型语言模型在计算论证中的应用潜力 |
large language model |
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| 27 |
Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models |
提出无监督自我提升框架以解决零样本命名实体识别问题 |
large language model |
✅ |
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| 28 |
Large Language Models are legal but they are not: Making the case for a powerful LegalLLM |
提出法律领域专用LLM以解决现有模型性能不足问题 |
large language model |
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| 29 |
Disinformation Capabilities of Large Language Models |
研究大型语言模型的虚假信息生成能力 |
large language model |
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| 30 |
StrategyLLM: Large Language Models as Strategy Generators, Executors, Optimizers, and Evaluators for Problem Solving |
提出StrategyLLM以解决现有提示方法的通用性与一致性问题 |
large language model |
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| 31 |
Enhancing Emergency Decision-making with Knowledge Graphs and Large Language Models |
提出E-KELL系统以提升应急决策支持能力 |
large language model |
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| 32 |
Towards A Unified View of Answer Calibration for Multi-Step Reasoning |
提出统一视角的答案校准方法以提升多步推理能力 |
large language model chain-of-thought |
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| 33 |
How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their Vulnerabilities |
提出advCoU策略以评估开源LLM的可信度 |
large language model instruction following |
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| 34 |
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets |
提出一种方法评估语言模型在多样挑战集上的鲁棒性 |
large language model chain-of-thought |
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| 35 |
PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning |
提出PLUG方法以解决低资源语言指令调优问题 |
large language model instruction following |
✅ |
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| 36 |
ToolTalk: Evaluating Tool-Usage in a Conversational Setting |
提出ToolTalk基准以评估对话环境中的工具使用 |
large language model |
✅ |
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| 37 |
Data Similarity is Not Enough to Explain Language Model Performance |
探讨数据相似性不足以解释语言模型性能的复杂性 |
large language model |
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| 38 |
LOKE: Linked Open Knowledge Extraction for Automated Knowledge Graph Construction |
提出LOKE以解决开放信息提取在知识图谱构建中的不足 |
large language model |
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| 39 |
Empirical evaluation of Uncertainty Quantification in Retrieval-Augmented Language Models for Science |
评估不确定性量化在科学检索增强语言模型中的应用 |
large language model |
✅ |
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| 40 |
Temperature-scaling surprisal estimates improve fit to human reading times -- but does it do so for the "right reasons"? |
温度缩放惊讶度估计提升人类阅读时间预测准确性 |
large language model |
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| 41 |
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models |
提出Chain-of-Noting以解决检索增强语言模型的鲁棒性问题 |
large language model |
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| 42 |
TableLlama: Towards Open Large Generalist Models for Tables |
提出TableLlama以解决表格任务的通用性问题 |
large language model |
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| 43 |
Fusion-Eval: Integrating Assistant Evaluators with LLMs |
提出Fusion-Eval以解决自然语言系统评估问题 |
large language model |
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| 44 |
How Vocabulary Sharing Facilitates Multilingualism in LLaMA? |
通过词汇共享提升LLaMA的多语言能力 |
large language model |
✅ |
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| 45 |
Assessing Knowledge Editing in Language Models via Relation Perspective |
提出RaKE基准以解决关系中心知识编辑问题 |
large language model |
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| 46 |
When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks |
探讨ICL在复杂任务中的局限性及其原因 |
large language model |
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| 47 |
Transformers in the Service of Description Logic-based Contexts |
构建DELTA_D数据集以提升基于Transformer的推理能力 |
large language model |
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| 48 |
Language and Task Arithmetic with Parameter-Efficient Layers for Zero-Shot Summarization |
提出参数高效层以解决零-shot跨语言摘要问题 |
large language model |
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| 49 |
GENEVA: GENErating and Visualizing branching narratives using LLMs |
提出GENEVA工具以生成和可视化分支叙事 |
large language model |
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| 50 |
Structural Priming Demonstrates Abstract Grammatical Representations in Multilingual Language Models |
通过结构性启动揭示多语言模型中的抽象语法表示 |
large language model |
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| 51 |
SiRA: Sparse Mixture of Low Rank Adaptation |
提出SiRA以提升大语言模型的参数高效调优 |
large language model |
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| 52 |
Grounding Gaps in Language Model Generations |
提出对话行为度量以解决语言模型生成中的共识缺失问题 |
large language model |
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| 53 |
Social Meme-ing: Measuring Linguistic Variation in Memes |
构建多模态管道以分析表情包中的语言变异 |
multimodal |
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| 54 |
MAVEN-Arg: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation |
提出MAVEN-Arg以解决事件理解数据集缺失问题 |
large language model |
✅ |
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| 55 |
Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers |
提出Factcheck-Bench以解决自动事实核查的评估问题 |
large language model |
✅ |
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| 56 |
Speculative Contrastive Decoding |
提出投机对比解码以提升语言模型解码效率与质量 |
large language model |
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| 57 |
HeLM: Highlighted Evidence augmented Language Model for Enhanced Table-to-Text Generation |
提出HeLM模型以解决表格到文本生成中的信息泄露问题 |
large language model |
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| 58 |
Thread of Thought Unraveling Chaotic Contexts |
提出Thread of Thought策略以解决混乱上下文问题 |
large language model |
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| 59 |
Token Prediction as Implicit Classification to Identify LLM-Generated Text |
提出基于下一个标记预测的隐式分类方法以识别LLM生成文本 |
large language model |
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| 60 |
Think-in-Memory: Recalling and Post-thinking Enable LLMs with Long-Term Memory |
提出Think-in-Memory机制以解决LLMs的长期记忆问题 |
large language model |
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