2003pro / TAGCOSLinks
This is the official implementation of TAGCOS: Task-agnostic Gradient Clustered Coreset Selection for Instruction Tuning Data
☆11Updated last year
Alternatives and similar repositories for TAGCOS
Users that are interested in TAGCOS are comparing it to the libraries listed below
Sorting:
- ☆25Updated 8 months ago
- [ACL 2024] Learning to Edit: Aligning LLMs with Knowledge Editing☆36Updated last year
- [NeurIPS 2024] Code and Data Repo for Paper "Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning"☆27Updated last year
- Methods and evaluation for aligning language models temporally☆30Updated last year
- The code of “Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning”☆17Updated last year
- [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"☆61Updated 2 years ago
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆126Updated last year
- [NeurIPS 2025] Implementation for the paper "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"☆136Updated last month
- ☆41Updated 2 years ago
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆63Updated last year
- AbstainQA, ACL 2024☆28Updated last year
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆76Updated last year
- Code associated with Tuning Language Models by Proxy (Liu et al., 2024)☆125Updated last year
- A Sober Look at Language Model Reasoning☆89Updated 3 weeks ago
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆64Updated last year
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆63Updated last year
- LoFiT: Localized Fine-tuning on LLM Representations☆45Updated 10 months ago
- [NAACL 2025] The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language M…☆29Updated last year
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆67Updated last year
- Code and models for EMNLP 2024 paper "WPO: Enhancing RLHF with Weighted Preference Optimization"☆41Updated last year
- Offical code of the paper Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Le…☆75Updated last year
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆118Updated last year
- A method of ensemble learning for heterogeneous large language models.☆64Updated last year
- Models, data, and codes for the paper: MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models☆24Updated last year
- ☆51Updated last year
- [ICLR 25 Oral] RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style☆72Updated 4 months ago
- A curated list of awesome resources dedicated to Scaling Laws for LLMs☆80Updated 2 years ago
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆82Updated 11 months ago
- One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning☆40Updated 2 years ago
- [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors☆82Updated 11 months ago