large language model

Towards Interpretable Mental Health Analysis with Large Language Models EMNLP 2023 Towards large language model-based personal agents in the enterprise: Current trends and open problems EMNLP 2023 Towards LLM-driven Dialogue State Tracking EMNLP 2023 Towards Making the Most of ChatGPT for Machine Translation EMNLP 2023 Towards Optimal Caching and Model Selection for Large Model Inference NeurIPS 2023 Towards Reasoning in Large Language Models: A Survey ACL 2023 Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters ACL 2023 Toxicity in chatgpt: Analyzing persona-assigned language models EMNLP 2023 Training Trajectories of Language Models Across Scales ACL 2023 TRAK: Attributing Model Behavior at Scale ICML 2023 Transcending Scaling Laws with 0.1% Extra Compute EMNLP 2023 Transferable Decoding with Visual Entities for Zero-Shot Image Captioning ICCV 2023 Transformer-based Hebrew NLP models for Short Answer Scoring in Biology ACL 2023 Translating a low-resource language using GPT-3 and a human-readable dictionary ACL 2023 Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Models EMNLP 2023 trlX: A Framework for Large Scale Open Source RLHF EMNLP 2023 trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback EMNLP 2023 TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models EMNLP 2023 TSTR: Target Similarity Tuning Meets the Real World EMNLP 2023 Tunable Soft Prompts are Messengers in Federated Learning EMNLP 2023 Tuna: Instruction Tuning using Feedback from Large Language Models EMNLP 2023 TUTORING: Instruction-Grounded Conversational Agent for Language Learners AAAI 2023 Two Directions for Clinical Data Generation with Large Language Models: Data-to-Label and Label-to-Data EMNLP 2023 Two Examples are Better than One: Context Regularization for Gradient-based Prompt Tuning ACL 2023 UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers EMNLP 2023