Alternatives and similar repositories for Fixed-Input-Parameterization

Users that are interested in Fixed-Input-Parameterization are comparing it to the libraries listed below

• declare-lab / resta
  Restore safety in fine-tuned language models through task arithmetic
  ☆28Updated last year
• SumilerGAO / SunGen
  ☆27Updated 2 years ago
• PrasannS / rlhf-length-biases
  ☆28Updated last year
• Nanami18 / Snowballed_Hallucination
  ☆44Updated 9 months ago
• terarachang / DataICL
  Data Valuation on In-Context Examples (ACL23)
  ☆23Updated 4 months ago
• hbin0701 / Self-Explore
  [𝐄𝐌𝐍𝐋𝐏 𝐅𝐢𝐧𝐝𝐢𝐧𝐠𝐬 𝟐𝟎𝟐𝟒 & 𝐀𝐂𝐋 𝟐𝟎𝟐𝟒 𝐍𝐋𝐑𝐒𝐄 𝐎𝐫𝐚𝐥] 𝘌𝘯𝘩𝘢𝘯𝘤𝘪𝘯𝘨 𝘔𝘢𝘵𝘩𝘦𝘮𝘢𝘵𝘪𝘤𝘢𝘭 𝘙𝘦𝘢𝘴𝘰𝘯𝘪𝘯…
  ☆51Updated last year
• joeljang / ELM
  [ICML 2023] Exploring the Benefits of Training Expert Language Models over Instruction Tuning
  ☆98Updated 2 years ago
• tml-epfl / icl-alignment
  Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]
  ☆30Updated 4 months ago
• naver-ai / ALMoST
  ☆24Updated last year
• snu-mllab / Bayesian-Red-Teaming
  About Official PyTorch implementation of "Query-Efficient Black-Box Red Teaming via Bayesian Optimization" (ACL'23)
  ☆14Updated last year
• violet-zct / swarm-distillation-zero-shot
  ☆22Updated 2 years ago
• kaistAI / knowledge-reasoning
  [EMNLP 2024] Official implementation of "Hierarchical Deconstruction of LLM Reasoning: A Graph-Based Framework for Analyzing Knowledge Ut…
  ☆21Updated 6 months ago
• ThomasScialom / T0_continual_learning
  Adding new tasks to T0 without catastrophic forgetting
  ☆33Updated 2 years ago
• eric-mitchell / serac
  Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model
  ☆68Updated 2 years ago
• shadowkiller33 / Contrast-Instruction
  ☆19Updated last year
• kaistAI / InstructIR
  IntructIR, a novel benchmark specifically designed to evaluate the instruction following ability in information retrieval models. Our foc…
  ☆32Updated 11 months ago
• UCSB-NLP-Chang / Prereq_tune
  Implementation for the paper "Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning"
  ☆10Updated 4 months ago
• joeljang / negated-prompts-for-llms
  [NeurIPS 2022 Workshop] A Case Study with Negated Prompts using T0 (3B, 11B), InstructGPT (350M-175B), GPT-3 (350M - 175B) & OPT (125M - …
  ☆24Updated 2 years ago
• swj0419 / kNN_prompt
  TBC
  ☆27Updated 2 years ago
• Zce1112zslx / IKE
  ☆41Updated last year
• yasumasaonoe / entity_knowledge_propagation
  ☆17Updated last year
• McGill-NLP / AdversarialTriggers
  Code for "Universal Adversarial Triggers Are Not Universal."
  ☆17Updated last year
• kaistAI / GAP
  [ACL 2023] Gradient Ascent Post-training Enhances Language Model Generalization
  ☆29Updated 8 months ago
• thunlp / DPT
  ☆13Updated 3 years ago
• nayeon7lee / FactualityPrompt
  ☆85Updated 2 years ago
• skywalker023 / fantom
  👻 Code and benchmark for our EMNLP 2023 paper - "FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions"
  ☆55Updated last year
• jaehunjung1 / Maieutic-Prompting
  ☆50Updated last year
• mt-upc / logit-explanations
  ☆14Updated last year
• wzhouad / context-faithful-llm
  Code and data for paper "Context-faithful Prompting for Large Language Models".
  ☆40Updated 2 years ago
• Pranjal2041 / AdaptiveConsistency
  Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning with LLMs
  ☆36Updated last year