Alternatives and similar repositories for TEMPERA:

Users that are interested in TEMPERA are comparing it to the libraries listed below

• deeplearning-wisc / args
  ☆37Updated last year
• facebookresearch / RLCD
  Reproduction of "RLCD Reinforcement Learning from Contrast Distillation for Language Model Alignment
  ☆67Updated last year
• princeton-nlp / unintentional-unalignment
  [ICLR 2025] Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization
  ☆23Updated 2 months ago
• junkangwu / beta-DPO
  [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$
  ☆41Updated 5 months ago
• shizhediao / Black-Box-Prompt-Learning
  Source code for the TMLR paper "Black-Box Prompt Learning for Pre-trained Language Models"
  ☆55Updated last year
• sail-sg / dice
  Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
  ☆43Updated 8 months ago
• JasonForJoy / Model-Editing-Hurt
  EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
  ☆35Updated 4 months ago
• Jiuzhouh / Uncertainty-Aware-Language-Agent
  This is the official repo for Towards Uncertainty-Aware Language Agent.
  ☆24Updated 7 months ago
• Shentao-YANG / Preference_Grounded_Guidance
  Source codes for "Preference-grounded Token-level Guidance for Language Model Fine-tuning" (NeurIPS 2023).
  ☆15Updated 2 months ago
• haotiansun14 / BBox-Adapter
  Lightweight Adapting for Black-Box Large Language Models
  ☆23Updated last year
• eric-mitchell / serac
  Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model
  ☆66Updated 2 years ago
• Hritikbansal / jpo
  ☆12Updated 3 months ago
• McGill-NLP / AdversarialTriggers
  Code for "Universal Adversarial Triggers Are Not Universal."
  ☆16Updated 10 months ago
• allenai / noncompliance
  This repository contains data, code and models for contextual noncompliance.
  ☆20Updated 8 months ago
• tatsu-lab / test_set_contamination
  ☆37Updated last year
• dannyallover / overthinking_the_truth
  ☆29Updated 10 months ago
• RLHFlow / Directional-Preference-Alignment
  Directional Preference Alignment
  ☆56Updated 6 months ago
• princeton-nlp / benign-data-breaks-safety
  ☆33Updated 5 months ago
• tml-epfl / long-is-more-for-alignment
  Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning [ICML 2024]
  ☆17Updated 10 months ago
• abhishekpanigrahi1996 / Skill-Localization-by-grafting
  ☆50Updated last year
• zjysteven / mink-plus-plus
  [ICLR'25 Spotlight] Min-K%++: Improved baseline for detecting pre-training data of LLMs
  ☆36Updated last month
• keven980716 / weak-to-strong-deception
  [ICLR 2025] Code&Data for the paper "Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization"
  ☆13Updated 9 months ago
• Nanami18 / Snowballed_Hallucination
  ☆44Updated 6 months ago
• declare-lab / resta
  Restore safety in fine-tuned language models through task arithmetic
  ☆28Updated last year
• qcznlp / uncertainty_attack
  ☆15Updated 6 months ago
• ChnQ / TracingLLM
  ☆25Updated 10 months ago
• Reason-Wang / NAT
  The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agen…
  ☆25Updated last year
• ShuheSH / A-Survey-of-the-Reasoning-Abilities-of-LLMs
  ☆19Updated 3 weeks ago
• WANGXinyiLinda / concept-based-demonstration-selection
  Offical code of the paper Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Le…
  ☆72Updated last year
• WeiminXiong / IPR
  Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)
  ☆56Updated 5 months ago