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Resources & Methods

16,196 papers (36 classified directly here)

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Papers (including subtopics)

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 HK-LegiCoST: Leveraging Non-Verbatim Transcripts for Speech Translation Interspeech 2023 HOMO-MEX: A Mexican Spanish Annotated Corpus for LGBT+phobia Detection on Twitter ACL 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 Howard University Computer Science at SemEval-2023 Task 12: A 2-Step System Design for Multilingual Sentiment Classification with Language Identification SemEval 2023 How Are Idioms Processed Inside Transformer Language Models? 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 languages influence each other? Studying cross-lingual data sharing during LM fine-tuning EMNLP 2023 How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances EMNLP 2023 How do Words Contribute to Sentence Semantics? Revisiting Sentence Embeddings with a Perturbation Method EACL 2023 How effective is machine translation on low-resource code-switching? A case study comparing human and automatic metrics ACL 2023 How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources NeurIPS 2023 How Generative Spoken Language Modeling Encodes Noisy Speech: Investigation from Phonetics to Syntactics Interspeech 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 How Well Do Text Embedding Models Understand Syntax? EMNLP 2023