lingchen0331 / UQ_ICLLinks
Uncertainty quantification for in-context learning of large language models
☆16Updated last year
Alternatives and similar repositories for UQ_ICL
Users that are interested in UQ_ICL are comparing it to the libraries listed below
Sorting:
- Offical code of the paper Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Le…☆75Updated last year
- ☆40Updated last year
- [NeurIPS 2024] Code and Data Repo for Paper "Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning"☆27Updated last year
- ☆51Updated last year
- EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue☆37Updated 5 months ago
- Models, data, and codes for the paper: MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models☆24Updated last year
- Align your LM to express calibrated verbal statements of confidence in its long-form generations.☆27Updated last year
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆31Updated 9 months ago
- Confidence Regulation Neurons in Language Models (NeurIPS 2024)☆14Updated 9 months ago
- ☆42Updated 2 years ago
- Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"☆32Updated last year
- This is the official repo for Towards Uncertainty-Aware Language Agent.☆29Updated last year
- [ICLR 2025] Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization☆31Updated 9 months ago
- [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors☆82Updated 11 months ago
- Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888☆37Updated last year
- Lightweight Adapting for Black-Box Large Language Models☆24Updated last year
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆62Updated last year
- ☆29Updated 8 months ago
- Learning adapter weights from task descriptions☆19Updated 2 years ago
- [NeurIPS 2023 D&B Track] Code and data for paper "Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evalua…☆35Updated 2 years ago
- Source code for the TMLR paper "Black-Box Prompt Learning for Pre-trained Language Models"☆56Updated 2 years ago
- [AAAI 2024] MELO: Enhancing Model Editing with Neuron-indexed Dynamic LoRA☆25Updated last year
- source code for NeurIPS'24 paper "HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection"☆61Updated 7 months ago
- ☆18Updated last year
- ☆18Updated last year
- Official Code Repository for [AutoScale📈: Scale-Aware Data Mixing for Pre-Training LLMs] Published as a conference paper at **COLM 2025*…☆12Updated 3 months ago
- [ICML 2023] Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning☆43Updated 2 years ago
- ☆102Updated last year
- [ICLR 2025] Code&Data for the paper "Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization"☆13Updated last year
- ☆13Updated 4 months ago