BrachioLab / incontext_influences
In-context Example Selection with Influences
☆15Updated last year
Alternatives and similar repositories for incontext_influences:
Users that are interested in incontext_influences are comparing it to the libraries listed below
- Code for "Tracing Knowledge in Language Models Back to the Training Data"☆37Updated 2 years ago
- Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments (Zhou et al., EMNLP 2024)☆13Updated 4 months ago
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆29Updated 3 weeks ago
- Code for preprint: Summarizing Differences between Text Distributions with Natural Language☆42Updated last year
- Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"☆53Updated last year
- This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"☆27Updated last year
- Augmenting Statistical Models with Natural Language Parameters☆23Updated 5 months ago
- Adding new tasks to T0 without catastrophic forgetting☆32Updated 2 years ago
- Tasks for describing differences between text distributions.☆16Updated 6 months ago
- [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning☆21Updated last year
- ☆36Updated last year
- Align your LM to express calibrated verbal statements of confidence in its long-form generations.☆22Updated 8 months ago
- Data Valuation on In-Context Examples (ACL23)☆23Updated last month
- Code for EMNLP 2021 paper "Measuring Association Between Labels and Free-Text Rationales"☆12Updated last year
- ☆22Updated 2 years ago
- ☆19Updated last year
- ☆44Updated last year
- This is the official implementation for our ACL 2024 paper: "Causal Estimation of Memorisation Profiles".☆19Updated 4 months ago
- [NeurIPS 2023 D&B Track] Code and data for paper "Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evalua…☆31Updated last year
- ☆10Updated 2 years ago
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆74Updated last year
- ☆26Updated 7 months ago
- ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"☆32Updated last week
- Easy-to-use MIRAGE code for faithful answer attribution in RAG applications. Paper: https://aclanthology.org/2024.emnlp-main.347/☆21Updated 2 months ago
- [ICLR'25 Spotlight] Min-K%++: Improved baseline for detecting pre-training data of LLMs☆35Updated last week
- This repository contains data, code and models for contextual noncompliance.☆20Updated 7 months ago
- ☆9Updated 3 years ago
- Official Repository for Dataset Inference for LLMs☆31Updated 6 months ago
- Code for "Universal Adversarial Triggers Are Not Universal."