google-research-datasets / GSM-IC
Grade-School Math with Irrelevant Context (GSM-IC) benchmark is an arithmetic reasoning dataset built upon GSM8K, by adding irrelevant sentences in problem descriptions. GSM-IC is constructed to evaluate the distractibility of language models.
☆58Updated 2 years ago
Alternatives and similar repositories for GSM-IC:
Users that are interested in GSM-IC are comparing it to the libraries listed below
- ☆86Updated last year
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆56Updated 8 months ago
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆39Updated 2 years ago
- AbstainQA, ACL 2024☆25Updated 5 months ago
- Evaluating the Ripple Effects of Knowledge Editing in Language Models☆54Updated 11 months ago
- ☆41Updated last year
- Supporting code for ReCEval paper☆28Updated 6 months ago
- ☆44Updated 6 months ago
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆58Updated last year
- ☆85Updated 2 years ago
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆63Updated last year
- ☆47Updated last year
- Repo for the paper "Large Language Models Struggle to Learn Long-Tail Knowledge"☆77Updated last year
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆109Updated 8 months ago
- ☆61Updated 2 years ago
- ☆95Updated last year
- Methods and evaluation for aligning language models temporally☆29Updated last year
- Do Large Language Models Know What They Don’t Know?☆92Updated 4 months ago
- [ACL 2024 Findings] CriticBench: Benchmarking LLMs for Critique-Correct Reasoning☆24Updated last year
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆130Updated last year
- Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model☆66Updated 2 years ago
- ☆51Updated last year
- ☆30Updated 11 months ago
- WikiWhy is a new benchmark for evaluating LLMs' ability to explain between cause-effect relationships. It is a QA dataset containing 9000…☆47Updated last year
- The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"☆37Updated last year
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆107Updated 6 months ago
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆52Updated 4 months ago
- ☆73Updated 10 months ago
- Personality Alignment of Language Models☆27Updated 3 weeks ago
- An open-source library for contamination detection in NLP datasets and Large Language Models (LLMs).☆51Updated 7 months ago