Alternatives and similar repositories for select-llm:

Users that are interested in select-llm are comparing it to the libraries listed below

• mlfoundations / dataset2metadata
  ☆22Updated 10 months ago
• wangskyGit / passage-sieve
  official repo of AAAI2024 paper Mitigating the Impact of False Negatives in Dense Retrieval with Contrastive Confidence Regularization
  ☆13Updated last year
• ThomasScialom / T0_continual_learning
  Adding new tasks to T0 without catastrophic forgetting
  ☆32Updated 2 years ago
• JeremyAlain / imitation_learning_from_language_feedback
  This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"
  ☆27Updated last year
• alon-albalak / FLAD
  Few-shot Learning with Auxiliary Data
  ☆26Updated last year
• violet-zct / swarm-distillation-zero-shot
  ☆22Updated 2 years ago
• kaistAI / InstructIR
  IntructIR, a novel benchmark specifically designed to evaluate the instruction following ability in information retrieval models. Our foc…
  ☆31Updated 7 months ago
• peterbhase / SLAG-Belief-Updating
  Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"
  ☆28Updated 2 years ago
• joeljang / ELM
  [ICML 2023] Exploring the Benefits of Training Expert Language Models over Instruction Tuning
  ☆97Updated last year
• sunlab-osu / ReasonBERT
  Code and pre-trained models for "ReasonBert: Pre-trained to Reason with Distant Supervision", EMNLP'2021
  ☆29Updated last year
• terarachang / DataICL
  Data Valuation on In-Context Examples (ACL23)
  ☆23Updated 2 weeks ago
• dmis-lab / TouR
  Findings of ACL'2023: Optimizing Test-Time Query Representations for Dense Retrieval
  ☆29Updated last year
• kyegomez / Reka-Torch
  Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch
  ☆28Updated this week
• salesforce / FactLM
  ☆10Updated 3 years ago
• frankaging / Causal-Distill
  The Codebase for Causal Distillation for Language Models (NAACL '22)
  ☆25Updated 2 years ago
• castorini / LiT5
  ☆16Updated 5 months ago
• kernelmachine / demix
  DEMix Layers for Modular Language Modeling
  ☆53Updated 3 years ago
• kaistAI / factual-knowledge-acquisition
  ☆17Updated 3 months ago
• ctlllll / reward_collapse
  ☆26Updated last year
• archiki / ReCEval
  Supporting code for ReCEval paper
  ☆27Updated 4 months ago
• petezh / OpenD5
  Tasks for describing differences between text distributions.
  ☆16Updated 5 months ago
• duykhuongnguyen / LASeR-MAB
  Code for paper: "LASeR: Learning to Adaptively Select Reward Models with Multi-Arm Bandits"
  ☆13Updated 3 months ago
• ylsung / vl-merging
  PyTorch codes for the paper "An Empirical Study of Multimodal Model Merging"
  ☆38Updated last year
• kaistAI / GAP
  [ACL 2023] Gradient Ascent Post-training Enhances Language Model Generalization
  ☆29Updated 4 months ago
• princeton-nlp / align-mlm
  ☆13Updated 2 years ago
• eric11eca / disco
  Generating diverse counterfactual data for Natural Language Understanding tasks using Large Language Models (LLMs). The generator support…
  ☆36Updated last year
• LooperXX / ManagerTower
  Code for ACL 2023 Oral Paper: ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning
  ☆11Updated last month
• allenai / data-efficient-finetuning
  Code for paper 'Data-Efficient FineTuning'
  ☆29Updated last year
• felixzli / synthetic_pretraining
  ☆39Updated 2 years ago
• sanyalsunny111 / Early_Weight_Avg
  [COLM 2024] Early Weight Averaging meets High Learning Rates for LLM Pre-training
  ☆14Updated 3 months ago