BYU-PCCL / leveraging-llms-for-mcqa
This is the code for the ICLR 2023 paper "Leveraging Large Language Models for Multiple Choice Question Answering."
☆34Updated last year
Related projects: ⓘ
- ☆77Updated last year
- ☆35Updated 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…☆82Updated 2 months ago
- AbstainQA, ACL 2024☆17Updated 3 weeks ago
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆60Updated last month
- Self-Explore to avoid ️the p️️it! Improving the Reasoning Capabilities of Language Models with Fine-grained Rewards☆39Updated 4 months ago
- BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval☆41Updated last month
- ☆61Updated last year
- EMNLP 2022: "MABEL: Attenuating Gender Bias using Textual Entailment Data" https://arxiv.org/abs/2210.14975☆37Updated 9 months ago
- The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning (NeurIPS 2022)☆13Updated last year
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆37Updated last year
- Generating diverse counterfactual data for Natural Language Understanding tasks using Large Language Models (LLMs). The generator support…☆34Updated last year
- Official repository for ICLR 2024 Spotlight paper "Large Language Models Are Not Robust Multiple Choice Selectors"☆32Updated 3 months ago
- Grade-School Math with Irrelevant Context (GSM-IC) benchmark is an arithmetic reasoning dataset built upon GSM8K, by adding irrelevant se…☆51Updated last year
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models"☆54Updated 8 months ago
- ☆24Updated 4 months ago
- Evaluate the Quality of Critique☆35Updated 3 months ago
- Code for the ACL2022 paper "Synthetic Question Value Estimation for Domain Adaptation of Question Answering"☆16Updated 2 years ago
- ☆44Updated 2 weeks ago
- Code for ACL 2023 paper "BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases".☆17Updated last year
- ☆61Updated 3 months ago
- Code and data for the FACTOR paper☆36Updated 10 months ago
- Methods and evaluation for aligning language models temporally☆24Updated 6 months ago
- An open-source library for contamination detection in NLP datasets and Large Language Models (LLMs).☆40Updated last month
- This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)☆96Updated last year
- ☆26Updated last year
- [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.☆91Updated last year
- Open-WikiTable :Dataset for Open Domain Question Answering with Complex Reasoning over Table☆17Updated last year
- [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning☆21Updated last year
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆51Updated 5 months ago
- Resources for Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. EMNLP 2022.☆19Updated last year