nat-nischw / kaggel-llm-science-exam-2023Links
☆14Updated last year
Alternatives and similar repositories for kaggel-llm-science-exam-2023
Users that are interested in kaggel-llm-science-exam-2023 are comparing it to the libraries listed below
Sorting:
- ☆56Updated 11 months ago
- 🚢 Data Toolkit for Sailor Language Models☆95Updated 10 months ago
- Finetune mistral-7b-instruct for sentence embeddings☆88Updated last year
- Code for KaLM-Embedding models☆108Updated 6 months ago
- 6th Position Solution Code for Kaggle - LLM Science Exam Competition☆24Updated last year
- This repository contains the joint use of CPO and SimPO method for better reference-free preference learning methods.☆56Updated last year
- Tool for converting LLMs from uni-directional to bi-directional by removing causal mask for tasks like classification and sentence embedd…☆63Updated last year
- [ACL 2025] AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark☆166Updated 3 months ago
- Spherical Merge Pytorch/HF format Language Models with minimal feature loss.☆142Updated 2 years ago
- ☆18Updated last year
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆185Updated 6 months ago
- Implementation of the LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens Paper☆151Updated last year
- Document Ranking with Large Language Models.☆203Updated 3 months ago
- Scripts for fine-tuning Llama2 via SFT and DPO.☆206Updated 2 years ago
- Unofficial implementation of AlpaGasus☆94Updated 2 years ago
- Leveraging passage embeddings for efficient listwise reranking with large language models.☆49Updated last year
- Comparing the Performance of LLMs: A Deep Dive into Roberta, Llama, and Mistral for Disaster Tweets Analysis with Lora☆51Updated 2 years ago
- This PyTorch package implements MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation (NAACL 2022).☆112Updated 3 years ago
- [NeurIPS 2023] This is the code for the paper `Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias`.☆156Updated 2 years ago
- [ACL 2024] LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement☆193Updated last year
- Scaling Sentence Embeddings with Large Language Models☆109Updated last year
- RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models☆55Updated 2 years ago
- FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions☆50Updated last year
- Code implementation of synthetic continued pretraining☆146Updated last year
- ☆166Updated 3 months ago
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆410Updated last year
- [ICLR 2025] InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales☆136Updated 11 months ago
- ☆162Updated last year
- Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation☆90Updated last year
- Code, datasets, and checkpoints for the paper "Improving Passage Retrieval with Zero-Shot Question Generation (EMNLP 2022)"☆100Updated 3 years ago