byungdoh / llm_surprisalLinks
Surprisal calculation using HuggingFace LMs ("Frequency Explains the Inverse Correlation of Large Language Models’ Size, Training Data Amount, and Surprisal’s Fit to Reading Times," EACL24)
☆16Updated last year
Alternatives and similar repositories for llm_surprisal
Users that are interested in llm_surprisal are comparing it to the libraries listed below
Sorting:
- SAP Benchmark☆18Updated 9 months ago
- Structural Supervision & Human Psycholinguistic Data☆11Updated 4 years ago
- A psycholinguistic modeling toolkit☆28Updated last month
- ☆12Updated 3 years ago
- ☆20Updated 3 years ago
- Corpus of naturalistic stories with annotation and psycholinguistic measures☆57Updated last month
- Contextualised Word Representations for Lexical Semantic Change Analysis☆31Updated 4 years ago
- ☆11Updated last month
- Data Sets and Models for Evaluation of Lexical Semantic Change Detection☆28Updated 2 years ago
- Analysis pipeline for Revisiting UID (EMNLP 2021)☆11Updated 2 years ago
- ☆17Updated last week
- This repository contains the Potsdam Textbook Corpus (PoTeC) which is a natural reading eye-tracking corpus.☆11Updated last week
- The Universal Decompositional Semantics (UDS) dataset and the Decomp toolkit☆57Updated 2 years ago
- Utility for behavioral and representational analyses of Language Models☆148Updated last week
- ☆25Updated last year
- An initiative to collect and distribute resources for co-reference resolution in a unified standard.☆25Updated last year
- A neural language model that estimates incremental processing complexity