Large Language Models

Provable Robust Watermarking for AI-Generated Text ICLR 2024 Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer NeurIPS 2024 Proving Test Set Contamination in Black-Box Language Models ICLR 2024 Proximal Causal Inference With Text Data NeurIPS 2024 ProxyQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models ACL 2024 Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models ICML 2024 PsychoLex: Unveiling the Psychological Mind of Large Language Models EMNLP 2024 Psychological Assessments with Large Language Models: A Privacy-Focused and Cost-Effective Approach EACL 2024 PSYDIAL: Personality-based Synthetic Dialogue Generation Using Large Language Models COLING 2024 PUB: A Pragmatics Understanding Benchmark for Assessing LLMs’ Pragmatics Capabilities ACL 2024 Purpose Enhanced Reasoning through Iterative Prompting: Uncover Latent Robustness of ChatGPT on Code Comprehension IJCAI 2024 Puzzle Solving using Reasoning of Large Language Models: A Survey EMNLP 2024 QDMR-based Planning-and-Solving Prompting for Complex Reasoning Tasks COLING 2024 QEFT: Quantization for Efficient Fine-Tuning of LLMs EMNLP 2024 QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMs EMNLP 2024 QRMeM: Unleash the Length Limitation through Question then Reflection Memory Mechanism EMNLP 2024 Qsnail: A Questionnaire Dataset for Sequential Question Generation COLING 2024 Quality Matters: Evaluating Synthetic Data for Tool-Using LLMs EMNLP 2024 QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation NeurIPS 2024 Quantifying and Analyzing Entity-Level Memorization in Large Language Models AAAI 2024 Quantifying and Optimizing Global Faithfulness in Persona-driven Role-playing NeurIPS 2024 Quantifying Generalizations: Exploring the Divide Between Human and LLMs’ Sensitivity to Quantification ACL 2024 Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting ICLR 2024 Quantifying Uncertainty in Natural Language Explanations of Large Language Models AISTATS 2024 Quantization of Large Language Models with an Overdetermined Basis UAI 2024