launchnlp / BOLTLinks
Code for ACL 2023 paper "BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases".
☆21Updated last year
Alternatives and similar repositories for BOLT
Users that are interested in BOLT are comparing it to the libraries listed below
Sorting:
- ☆27Updated 2 years ago
- ☆25Updated 2 weeks ago
- A codebase for ACL 2023 paper: Mitigating Label Biases for In-context Learning☆10Updated last year
- "FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning" (ACL 2023)☆14Updated last year
- ☆17Updated last year
- The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning (NeurIPS 2022)☆15Updated 2 years ago
- ☆29Updated last year
- Augmenting Statistical Models with Natural Language Parameters☆27Updated 9 months ago
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆59Updated last year
- ☆41Updated last year
- Code for Residual Energy-Based Models for Text Generation in PyTorch.☆24Updated 4 years ago
- ☆40Updated last year
- Repository for ACL 2022 paper Mix and Match: Learning-free Controllable Text Generation using Energy Language Models☆44Updated 3 years ago
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆60Updated 7 months ago
- ☆75Updated last year
- Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model☆68Updated 2 years ago
- Official Code for the papers: "Controlled Text Generation as Continuous Optimization with Multiple Constraints" and "Gradient-based Const…☆62Updated last year
- ☆33Updated 2 years ago
- AbstainQA, ACL 2024☆26Updated 8 months ago
- [EMNLP-2022 Findings] Code for paper “ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback”.☆26Updated 2 years ago
- ☆28Updated last year
- Restore safety in fine-tuned language models through task arithmetic☆28Updated last year
- This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)☆102Updated 2 years ago
- This code accompanies the paper DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering.☆16Updated 2 years ago
- Dataset for Unified Editing, EMNLP 2023. This is a model editing dataset where edits are natural language phrases.☆23Updated 9 months ago
- ☆17Updated last year
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆62Updated 11 months ago
- [EMNLP 2022] Code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”.☆16Updated 3 years ago
- Methods and evaluation for aligning language models temporally☆29Updated last year
- 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