| 1 |
Instruction-Following Evaluation for Large Language Models |
提出指令跟随评估基准以解决大型语言模型评估标准化问题 |
large language model instruction following |
✅ |
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| 2 |
Are Large Language Models Temporally Grounded? |
探讨大型语言模型的时间基础性问题 |
large language model chain-of-thought |
✅ |
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| 3 |
Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning |
提出半结构化思维链以整合多源知识提升语言模型推理能力 |
large language model chain-of-thought |
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| 4 |
Automated title and abstract screening for scoping reviews using the GPT-4 Large Language Model |
提出GPTscreenR以自动化文献筛选过程 |
large language model chain-of-thought |
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| 5 |
AfroBench: How Good are Large Language Models on African Languages? |
提出AfroBench以评估大型语言模型在非洲语言上的表现 |
large language model |
✅ |
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| 6 |
Alignment is not sufficient to prevent large language models from generating harmful information: A psychoanalytic perspective |
提出新训练方法以解决大语言模型生成有害信息的问题 |
large language model |
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| 7 |
A Survey of Confidence Estimation and Calibration in Large Language Models |
综述大语言模型的置信度估计与校准方法 |
large language model |
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| 8 |
MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration |
提出MAgIC框架以评估多智能体环境中的LLMs能力 |
large language model |
✅ |
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| 9 |
Efficient Continual Pre-training for Building Domain Specific Large Language Models |
提出持续预训练方法以高效构建领域特定的大型语言模型 |
large language model |
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| 10 |
Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models |
提出选择镜头策略以提升少样本学习中的公平性 |
large language model |
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| 11 |
Aligning Large Language Models with Human Opinions through Persona Selection and Value--Belief--Norm Reasoning |
提出Chain-of-Opinion以解决大语言模型对人类意见预测的挑战 |
large language model |
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| 12 |
SimpleSafetyTests: a Test Suite for Identifying Critical Safety Risks in Large Language Models |
提出SimpleSafetyTests以识别大型语言模型的安全风险 |
large language model |
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| 13 |
On-the-Fly Fusion of Large Language Models and Machine Translation |
提出即时融合机器翻译模型与大语言模型以提升翻译质量 |
large language model |
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| 14 |
How Well Do Large Language Models Understand Syntax? An Evaluation by Asking Natural Language Questions |
评估大型语言模型对句法理解的能力 |
large language model |
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| 15 |
A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily |
提出ReNeLLM框架以自动生成有效的越狱提示 |
large language model |
✅ |
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| 16 |
Fast Chain-of-Thought: A Glance of Future from Parallel Decoding Leads to Answers Faster |
提出FastCoT以加速大语言模型推理过程 |
chain-of-thought |
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| 17 |
Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration |
提出多代理协作策略以提升大语言模型推理能力 |
large language model |
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| 18 |
Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models |
提出F-Learning以解决大语言模型知识更新问题 |
large language model |
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| 19 |
Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning |
提出自演化多样数据采样方法以提高指令调优效率 |
large language model instruction following |
✅ |
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| 20 |
Empowering Multi-step Reasoning across Languages via Tree-of-Thoughts |
提出跨语言思维树方法以解决多步推理问题 |
large language model chain-of-thought |
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| 21 |
Predicting Text Preference Via Structured Comparative Reasoning |
提出结构化比较推理方法以提升文本偏好预测准确性 |
large language model chain-of-thought |
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| 22 |
How You Prompt Matters! Even Task-Oriented Constraints in Instructions Affect LLM-Generated Text Detection |
揭示任务导向约束对LLM生成文本检测的影响 |
large language model instruction following |
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| 23 |
Low-Rank Adaptation for Multilingual Summarization: An Empirical Study |
提出低秩适应方法以解决多语言摘要任务中的调优挑战 |
large language model |
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| 24 |
GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer |
提出GLiNER以解决传统命名实体识别模型的局限性 |
large language model |
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| 25 |
Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM Game |
提出对抗偏好优化框架以提升大语言模型的对齐效果 |
large language model |
✅ |
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| 26 |
Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models |
提出Qwen-Audio以解决音频理解能力不足的问题 |
instruction following |
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| 27 |
CodeScope: An Execution-based Multilingual Multitask Multidimensional Benchmark for Evaluating LLMs on Code Understanding and Generation |
提出CodeScope以解决现有代码理解与生成基准的不足问题 |
large language model |
✅ |
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| 28 |
Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios |
提出自一致性方法以改善语言模型推理能力 |
chain-of-thought |
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| 29 |
LLatrieval: LLM-Verified Retrieval for Verifiable Generation |
提出LLatrieval以解决可验证生成中的检索瓶颈问题 |
large language model |
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| 30 |
Are You Sure? Challenging LLMs Leads to Performance Drops in The FlipFlop Experiment |
提出FlipFlop实验以分析大型语言模型的多轮对话行为 |
large language model |
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| 31 |
UT5: Pretraining Non autoregressive T5 with unrolled denoising |
提出UT5以解决自回归模型的性能瓶颈问题 |
large language model |
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| 32 |
AI-generated text boundary detection with RoFT |
提出基于RoFT的文本边界检测方法以解决人机混合文本识别问题 |
large language model |
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| 33 |
MC$^2$: Towards Transparent and Culturally-Aware NLP for Minority Languages in China |
提出MC$^2$以解决中国少数民族语言NLP的透明性与文化意识问题 |
large language model |
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| 34 |
All Data on the Table: Novel Dataset and Benchmark for Cross-Modality Scientific Information Extraction |
提出半监督管道以解决跨模态科学信息提取问题 |
large language model |
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| 35 |
SAIE Framework: Support Alone Isn't Enough -- Advancing LLM Training with Adversarial Remarks |
提出SAIE框架以增强大语言模型的训练效果 |
large language model |
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| 36 |
It's All Relative! -- A Synthetic Query Generation Approach for Improving Zero-Shot Relevance Prediction |
提出一种合成查询生成方法以改善零样本相关性预测 |
large language model |
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| 37 |
Fair Abstractive Summarization of Diverse Perspectives |
提出公平抽象摘要方法以解决多元观点总结问题 |
large language model |
✅ |
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