xiatingyu / SFT-DataSelection-at-scale
☆29Updated 2 months ago
Alternatives and similar repositories for SFT-DataSelection-at-scale:
Users that are interested in SFT-DataSelection-at-scale are comparing it to the libraries listed below
- Model merging is a highly efficient approach for long-to-short reasoning.☆38Updated 3 weeks ago
- [ACL 2024] The official codebase for the paper "Self-Distillation Bridges Distribution Gap in Language Model Fine-tuning".☆117Updated 5 months ago
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆75Updated 3 months ago
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆147Updated 7 months ago
- [ICLR 2025] 🧬 RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)☆124Updated 2 months ago
- Repo for the EMNLP'24 Paper "Dual-Space Knowledge Distillation for Large Language Models". A general white-box KD framework for both same…☆47Updated 5 months ago
- TokenSkip: Controllable Chain-of-Thought Compression in LLMs☆120Updated last month
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆164Updated 9 months ago
- [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$☆42Updated 5 months ago
- [ACL 2024] Learning to Edit: Aligning LLMs with Knowledge Editing☆35Updated 7 months ago
- ☆132Updated 8 months ago
- ☆81Updated last year
- ☆50Updated this week
- [ACL 2024] Long-Context Language Modeling with Parallel Encodings☆153Updated 10 months ago
- TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models☆67Updated last year
- ☆13Updated 4 months ago
- ☆98Updated 6 months ago
- Code implementation of synthetic continued pretraining☆99Updated 3 months ago
- Implementation for the research paper "Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision".☆52Updated 4 months ago
- Code for ACL 2024 accepted paper titled "SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language …☆34Updated 3 months ago
- Code associated with Tuning Language Models by Proxy (Liu et al., 2024)☆107Updated last year
- The code of arxiv paper: "CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis"☆24Updated 3 months ago
- Official implementation of the paper "From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large L…☆46Updated 9 months ago
- [ICLR 2025] Code and Data Repo for Paper "Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation"☆42Updated 3 months ago
- [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"☆111Updated 6 months ago
- ☆88Updated 3 months ago
- We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.☆61Updated 5 months ago
- [ICLR'25] DataGen: Unified Synthetic Dataset Generation via Large Language Models☆46Updated last month
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models☆58Updated 4 months ago
- [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"☆60Updated last year