Alternatives and similar repositories for cascaded-selective-evaluation

Users that are interested in cascaded-selective-evaluation are comparing it to the libraries listed below

• kaistAI / InstructIR
  IntructIR, a novel benchmark specifically designed to evaluate the instruction following ability in information retrieval models. Our foc…
  ☆32Updated last year
• ShiZhengyan / PowerfulPromptFT
  [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
• r-three / RAD
  Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
  ☆45Updated 3 months ago
• para-lost / ReBase
  ReBase: Training Task Experts through Retrieval Based Distillation
  ☆29Updated 11 months ago
• abhika-m / FAVA
  ☆75Updated last year
• kernelmachine / silo-lm
  SILO Language Models code repository
  ☆83Updated last year
• kaistAI / factual-knowledge-acquisition
  ☆23Updated last month
• peterbhase / SLAG-Belief-Updating
  Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"
  ☆28Updated 3 years ago
• google-research-datasets / swim-ir
  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
• allenai / EmbeddingRecycling
  Embedding Recycling for Language models
  ☆38Updated 2 years ago
• seonghyeonye / Flipped-Learning
  [ICLR 2023] Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
  ☆116Updated 6 months ago
• allenai / CommaQA
  Code and Dataset for Learning to Solve Complex Tasks by Talking to Agents
  ☆24Updated 3 years ago
• Rojak-NLP / LLM-Code-Mixing
  Can LLMs generate code-mixed sentences through zero-shot prompting?
  ☆11Updated 2 years ago
• ryokamoi / llm-self-correction-papers
  List of papers on Self-Correction of LLMs.
  ☆80Updated last year
• orevaahia / magnet-tokenization
  ☆13Updated last year
• austrian-code-wizard / c3po
  ☆29Updated 3 weeks ago
• princeton-nlp / align-mlm
  ☆13Updated 3 years ago
• ContextualAI / CLAIR_and_APO
  Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment
  ☆61Updated last year
• skywalker023 / fantom
  👻 Code and benchmark for our EMNLP 2023 paper - "FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions"
  ☆57Updated last year
• EleutherAI / semantic-memorization
  ☆44Updated last year
• neelsjain / BYOD
  The Official Repository for "Bring Your Own Data! Self-Supervised Evaluation for Large Language Models"
  ☆107Updated 2 years ago
• HazyResearch / aioli
  Aioli: A unified optimization framework for language model data mixing
  ☆32Updated last year
• r-three / phatgoose
  Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"
  ☆91Updated last year
• joeljang / ELM
  [ICML 2023] Exploring the Benefits of Training Expert Language Models over Instruction Tuning
  ☆98Updated 2 years ago
• kumar-shridhar / Screws
  SCREWS: A Modular Framework for Reasoning with Revisions
  ☆27Updated 2 years ago
• likenneth / persona_drift
  Measuring and Controlling Persona Drift in Language Model Dialogs
  ☆21Updated last year
• ekinakyurek / google-research
  Google Research
  ☆46Updated 3 years ago
• scandukuri / assistant-gate
  ☆28Updated last year
• McGill-NLP / instruct-qa
  Code and Data for "Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering"
  ☆87Updated last year
• swarnaHub / ExplanationIntervention
  [NeurIPS 2023] PyTorch code for Can Language Models Teach? Teacher Explanations Improve Student Performance via Theory of Mind
  ☆66Updated 2 years ago