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Large Language Models

6,405 papers

Papers per year

Papers

Advancing Large Language Model Attribution through Self-Improving EMNLP 2024
Interpretability-based Tailored Knowledge Editing in Transformers EMNLP 2024
PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling EMNLP 2024
Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting EMNLP 2024
Dissecting Fine-Tuning Unlearning in Large Language Models EMNLP 2024
Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models EMNLP 2024
Where is the signal in tokenization space? EMNLP 2024
Consistent Autoformalization for Constructing Mathematical Libraries EMNLP 2024
When Context Leads but Parametric Memory Follows in Large Language Models EMNLP 2024
Teaching LLMs to Abstain across Languages via Multilingual Feedback EMNLP 2024
Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration EMNLP 2024
StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements EMNLP 2024
I Could’ve Asked That: Reformulating Unanswerable Questions EMNLP 2024
STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions EMNLP 2024
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning EMNLP 2024
When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives EMNLP 2024
An Analysis of Multilingual FActScore EMNLP 2024
Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models EMNLP 2024
Visual Prompting in LLMs for Enhancing Emotion Recognition EMNLP 2024
Outcome-Constrained Large Language Models for Countering Hate Speech EMNLP 2024
Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-Context Models EMNLP 2024
CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation EMNLP 2024
A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners EMNLP 2024
Bayesian Calibration of Win Rate Estimation with LLM Evaluators EMNLP 2024
MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning EMNLP 2024