ekinakyurek / influence

Related projects ⓘ

Alternatives and complementary repositories for influence

• kernelmachine / demix
  DEMix Layers for Modular Language Modeling
  ☆53Updated 3 years ago
• jzbjyb / lm-calibration
  ☆32Updated 2 years ago
• princeton-nlp / LM-Kernel-FT
  A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
  ☆69Updated last year
• frankxu2004 / knnlm-why
  Repo for ICML23 "Why do Nearest Neighbor Language Models Work?"
  ☆56Updated last year
• violet-zct / swarm-distillation-zero-shot
  ☆22Updated 2 years ago
• yuzhaouoe / pretraining-data-packing
  [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training
  ☆18Updated 2 months ago
• archiki / GrIPS
  Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"
  ☆51Updated last year
• swj0419 / kNN_prompt
  TBC
  ☆26Updated 2 years ago
• yanaiela / pararel
  ☆42Updated 9 months ago
• princeton-nlp / WhatICLLearns
  [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning
  ☆21Updated last year
• ThomasScialom / T0_continual_learning
  Adding new tasks to T0 without catastrophic forgetting
  ☆30Updated 2 years ago
• jxhe / efficient-knnlm
  Pytorch implementation of paper "Efficient Nearest Neighbor Language Models" (EMNLP 2021)
  ☆71Updated 2 years ago
• INK-USC / ReCross
  ReCross: Unsupervised Cross-Task Generalization via Retrieval Augmentation
  ☆22Updated 2 years ago
• nayeon7lee / FactualityPrompt
  ☆78Updated last year
• neulab / retomaton
  PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)
  ☆71Updated 2 years ago
• McGill-NLP / polytropon
  ☆51Updated last year
• AkariAsai / evidentiality_qa
  The official implemetation of "Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks" (NAACL 2022).
  ☆43Updated last year
• nkandpa2 / long_tail_knowledge
  Repo for the paper "Large Language Models Struggle to Learn Long-Tail Knowledge"
  ☆73Updated last year
• SimengSun / ChapterBreak
  ☆12Updated 5 months ago
• awebson / prompt_semantics
  This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”
  ☆84Updated 2 years ago
• PrasannS / rlhf-length-biases
  ☆26Updated 7 months ago
• tau-nlp / scrolls
  The official code of EMNLP 2022, "SCROLLS: Standardized CompaRison Over Long Language Sequences".
  ☆68Updated 9 months ago
• cliang1453 / SAGE
  No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models (ICLR 2022)
  ☆29Updated 2 years ago
• peterbhase / LAS-NL-Explanations
  Code for paper "Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?"
  ☆20Updated 4 years ago
• kernelmachine / demix-data
  Benchmark API for Multidomain Language Modeling
  ☆24Updated 2 years ago
• ruiqi-zhong / DescribeDistributionalDifferences
  Code for preprint: Summarizing Differences between Text Distributions with Natural Language
  ☆42Updated last year
• alon-albalak / TLiDB
  Transfer Learning in Dialogue Benchmarking Toolkit
  ☆14Updated last year
• peterwestuw / surface-form-competition
  ☆57Updated 2 years ago
• ghrua / NgramRes
  ☆20Updated 2 years ago
• jacobandreas / geca
  ☆42Updated 3 years ago