jaehunjung1 / cascaded-selective-evaluationLinks
☆28Updated 10 months ago
Alternatives and similar repositories for cascaded-selective-evaluation
Users that are interested in cascaded-selective-evaluation are comparing it to the libraries listed below
Sorting:
- IntructIR, a novel benchmark specifically designed to evaluate the instruction following ability in information retrieval models. Our foc…☆31Updated last year
- ☆75Updated last year
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆45Updated 2 months ago
- ☆29Updated this week
- ☆13Updated last year
- ☆23Updated 2 weeks ago
- ReBase: Training Task Experts through Retrieval Based Distillation☆29Updated 10 months ago
- Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"☆91Updated last year
- [NeurIPS 2023 Main Track] This is the repository for the paper titled "Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Lea…☆76Updated last year
- ☆44Updated last year
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment☆62Updated last year
- List of papers on Self-Correction of LLMs.☆81Updated last year
- SWIM-IR is a Synthetic Wikipedia-based Multilingual Information Retrieval training set with 28 million query-passage pairs spanning 33 la…☆49Updated 2 years ago
- MEXMA: Token-level objectives improve sentence representations☆42Updated 11 months ago
- SILO Language Models code repository☆83Updated last year
- ☆49Updated 8 months ago
- Embedding Recycling for Language models☆38Updated 2 years ago
- Repository for "I am a Strange Dataset: Metalinguistic Tests for Language Models"☆45Updated last year
- Aioli: A unified optimization framework for language model data mixing☆31Updated 11 months ago
- 👻 Code and benchmark for our EMNLP 2023 paper - "FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions"☆57Updated last year
- Can LLMs generate code-mixed sentences through zero-shot prompting?☆11Updated 2 years ago
- ☆36Updated 2 years ago
- Code and Data for "Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering"☆87Updated last year
- Improving Text Embedding of Language Models Using Contrastive Fine-tuning☆66Updated last year
- [ICLR 2023] Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners☆116Updated 6 months ago
- [ICML 2023] Exploring the Benefits of Training Expert Language Models over Instruction Tuning☆98Updated 2 years ago
- Few-shot Learning with Auxiliary Data☆31Updated 2 years ago
- In-Context Alignment: Chat with Vanilla Language Models Before Fine-Tuning☆35Updated 2 years ago
- ☆59Updated last year
- Scalable Meta-Evaluation of LLMs as Evaluators☆43Updated last year