Large Language Models

H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models NeurIPS 2023 H2O Open Ecosystem for State-of-the-art Large Language Models EMNLP 2023 HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient Inference EMNLP 2023 Harnessing the Power of BERT in the Turkish Clinical Domain: Pretraining Approaches for Limited Data Scenarios ACL 2023 Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements EMNLP 2023 Hexatagging: Projective Dependency Parsing as Tagging ACL 2023 Hierarchical Catalogue Generation for Literature Review: A Benchmark EMNLP 2023 Hierarchical Prompting Assists Large Language Model on Web Navigation EMNLP 2023 HIT-MI&T Lab’s Submission to Eval4NLP 2023 Shared Task AACL 2023 Hi-ToM: A Benchmark for Evaluating Higher-Order Theory of Mind Reasoning in Large Language Models EMNLP 2023 HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science EMNLP 2023 Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale. ACL 2023 How ChatGPT is Robust for Spoken Language Understanding? Interspeech 2023 How do different tokenizers perform on downstream tasks in scriptio continua languages?: A case study in Japanese ACL 2023 How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model NeurIPS 2023 How Do In-Context Examples Affect Compositional Generalization? ACL 2023 How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances EMNLP 2023 How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources NeurIPS 2023 How Many Data Samples is an Additional Instruction Worth? EACL 2023 How Many Demonstrations Do You Need for In-context Learning? EMNLP 2023 How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench EMNLP 2023 How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts EMNLP 2023 How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey EMNLP 2023 How to Plant Trees in Language Models: Data and Architectural Effects on the Emergence of Syntactic Inductive Biases ACL 2023 HuaSLIM: Human Attention Motivated Shortcut Learning Identification and Mitigation for Large Language models ACL 2023