Large Language Models

Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning NeurIPS 2024 Personal Large Language Model Agents: A Case Study on Tailored Travel Planning EMNLP 2024 Personas as a Way to Model Truthfulness in Language Models EMNLP 2024 PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations NeurIPS 2024 P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains EMNLP 2024 Phased Instruction Fine-Tuning for Large Language Models ACL 2024 PhiloGPT: A Philology-Oriented Large Language Model for Ancient Chinese Manuscripts with Dunhuang as Case Study EMNLP 2024 Physics of Language Models: Part 3.1, Knowledge Storage and Extraction ICML 2024 PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning ICML 2024 PII-Compass: Guiding LLM training data extraction prompts towards the target PII via grounding ACL 2024 PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs ACL 2024 Pixology: Probing the Linguistic and Visual Capabilities of Pixel-based Language Models EMNLP 2024 Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs NeurIPS 2024 Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning EMNLP 2024 Play Guessing Game with LLM: Indirect Jailbreak Attack with Implicit Clues ACL 2024 Plum: Prompt Learning using Metaheuristics ACL 2024 PocketLLM: Enabling On-Device Fine-Tuning for Personalized LLMs ACL 2024 Polarization of Autonomous Generative AI Agents Under Echo Chambers ACL 2024 Policy Adaptation via Language Optimization: Decomposing Tasks for Few-Shot Imitation CoRL 2024 Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting NeurIPS 2024 POP-CEE: Position-oriented Prompt-tuning Model for Causal Emotion Entailment ACL 2024 Position: A Roadmap to Pluralistic Alignment ICML 2024 Position: Building Guardrails for Large Language Models Requires Systematic Design ICML 2024 Position: Data-driven Discovery with Large Generative Models ICML 2024 Position: Do pretrained Transformers Learn In-Context by Gradient Descent? ICML 2024