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Large Language Models

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Papers

Preference Tuning For Toxicity Mitigation Generalizes Across Languages EMNLP 2024 Premise Order Matters in Reasoning with Large Language Models ICML 2024 Preparing Lessons for Progressive Training on Language Models AAAI 2024 PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs ICML 2024 Pre-trained Language Models Return Distinguishable Probability Distributions to Unfaithfully Hallucinated Texts EMNLP 2024 Pretrained Transformer Efficiently Learns Low-Dimensional Target Functions In-Context NeurIPS 2024 Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method EMNLP 2024 PRewrite: Prompt Rewriting with Reinforcement Learning ACL 2024 PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation EMNLP 2024 Principled Gradient-Based MCMC for Conditional Sampling of Text ICML 2024 Privacy Backdoors: Stealing Data with Corrupted Pretrained Models ICML 2024 PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action NeurIPS 2024 Privacy-Preserving Instructions for Aligning Large Language Models ICML 2024 Privately Aligning Language Models with Reinforcement Learning ICLR 2024 PrivAuditor: Benchmarking Data Protection Vulnerabilities in LLM Adaptation Techniques NeurIPS 2024 Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo ICML 2024 Probing Language Models for Pre-training Data Detection ACL 2024 Probing of pretrained multilingual models on the knowledge of discourse EACL 2024 Probing the Capacity of Language Model Agents to Operationalize Disparate Experiential Context Despite Distraction EMNLP 2024 Probing the Depths of Language Models’ Contact-Center Knowledge for Quality Assurance EMNLP 2024 Probing the Emergence of Cross-lingual Alignment during LLM Training ACL 2024 Progressive Text-to-Image Diffusion with Soft Latent Direction AAAI 2024 PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA ACL 2024 Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models EMNLP 2024 Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines ICML 2024