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.
☆60Updated 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
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆58Updated last year
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆59Updated 9 months ago
- AbstainQA, ACL 2024☆25Updated 6 months ago
- ☆41Updated last year
- ☆95Updated last year
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆39Updated 2 years ago
- ☆61Updated 2 years ago
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆53Updated 5 months ago
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆130Updated last year
- ☆41Updated last year
- ☆49Updated last year
- ☆44Updated 7 months ago
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆109Updated 7 months ago
- Evaluating the Ripple Effects of Knowledge Editing in Language Models☆55Updated last year
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆64Updated 5 months ago
- ☆47Updated last year
- ☆85Updated 2 years ago
- Methods and evaluation for aligning language models temporally☆29Updated last year
- [ACL 2024 Findings] CriticBench: Benchmarking LLMs for Critique-Correct Reasoning☆24Updated last year
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆67Updated last year
- ☆53Updated last year
- Towards Systematic Measurement for Long Text Quality☆34Updated 7 months ago
- [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.☆99Updated 2 years ago
- ☆73Updated 11 months ago
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆110Updated 9 months ago
- One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning☆39Updated last year
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆63Updated last year
- Code for "Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model", EMNLP Findings 20…☆28Updated last year
- Supporting code for ReCEval paper☆28Updated 7 months ago