glorgao / SelectiveDPOLinks
Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples
☆40Updated last month
Alternatives and similar repositories for SelectiveDPO
Users that are interested in SelectiveDPO are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"☆36Updated last month
- Code for "Towards Revealing the Mystery behind Chain of Thought: a Theoretical Perspective"☆20Updated 2 years ago
- [ACL'24] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization☆85Updated last year
- Code for the ICML 2024 paper "Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment"☆72Updated 2 months ago
- A Sober Look at Language Model Reasoning☆81Updated 2 months ago
- ☆51Updated last year
- [ACL 2024] Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models☆53Updated 11 months ago
- [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"☆61Updated last year
- Official code for "Decoding-Time Language Model Alignment with Multiple Objectives".☆25Updated 9 months ago
- This is the official implementation of ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting☆21Updated last year
- official code for paper Probing the Decision Boundaries of In-context Learning in Large Language Models. https://arxiv.org/abs/2406.11233…☆19Updated last month
- ☆44Updated last year
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆60Updated last year
- Implementation for the paper "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"☆91Updated last month
- Code for paper: Aligning Large Language Models with Representation Editing: A Control Perspective☆32Updated 6 months ago
- [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications☆82Updated 4 months ago
- Official code for SEAL: Steerable Reasoning Calibration of Large Language Models for Free☆40Updated 4 months ago
- Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic☆28Updated 7 months ago
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆88Updated 9 months ago
- Accepted LLM Papers in NeurIPS 2024☆37Updated 10 months ago
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆59Updated 10 months ago
- [ICML 2025] "From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?"☆34Updated last month
- ☆49Updated last month
- AdaICL: Which Examples to Annotate of In-Context Learning? Towards Effective and Efficient Selection☆17Updated last year
- [NeurIPS 2024] Code and Data Repo for Paper "Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning"☆27Updated last year
- [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$☆47Updated 10 months ago
- ☆22Updated 8 months ago
- The code of “Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning”☆17Updated last year
- ☆172Updated last year
- [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"☆12Updated 6 months ago