Alternatives and similar repositories for Uncertainty-Aware-Language-Agent

Users that are interested in Uncertainty-Aware-Language-Agent are comparing it to the libraries listed below

• sail-sg / dice
  Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
  ☆44Updated 5 months ago
• deeplearning-wisc / args
  ☆44Updated last year
• dannyallover / overthinking_the_truth
  ☆29Updated last year
• Edward-Sun / easy-to-hard
  Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
  ☆123Updated last year
• hbin0701 / Self-Explore
  [𝐄𝐌𝐍𝐋𝐏 𝐅𝐢𝐧𝐝𝐢𝐧𝐠𝐬 𝟐𝟎𝟐𝟒 & 𝐀𝐂𝐋 𝟐𝟎𝟐𝟒 𝐍𝐋𝐑𝐒𝐄 𝐎𝐫𝐚𝐥] 𝘌𝘯𝘩𝘢𝘯𝘤𝘪𝘯𝘨 𝘔𝘢𝘵𝘩𝘦𝘮𝘢𝘵𝘪𝘤𝘢𝘭 𝘙𝘦𝘢𝘴𝘰𝘯𝘪𝘯…
  ☆52Updated last year
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆61Updated last year
• facebookresearch / rlfh-gen-div
  This is code for most of the experiments in the paper Understanding the Effects of RLHF on LLM Generalisation and Diversity
  ☆45Updated last year
• princeton-nlp / unintentional-unalignment
  [ICLR 2025] Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization
  ☆31Updated 7 months ago
• RUCAIBox / RLMEC
  The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"
  ☆38Updated last year
• bethgelab / sober-reasoning
  A Sober Look at Language Model Reasoning
  ☆82Updated 3 months ago
• RLHFlow / Directional-Preference-Alignment
  Directional Preference Alignment
  ☆59Updated 11 months ago
• janphilippfranken / sami
  Self-Supervised Alignment with Mutual Information
  ☆21Updated last year
• allenai / noncompliance
  This repository contains data, code and models for contextual noncompliance.
  ☆24Updated last year
• hkust-nlp / RL-Verifier-Pitfalls
  Pitfalls of Rule- and Model-based Verifiers: A Case Study on Mathematical Reasoning.
  ☆23Updated 3 months ago
• facebookresearch / RLCD
  Reproduction of "RLCD Reinforcement Learning from Contrast Distillation for Language Model Alignment
  ☆69Updated 2 years ago
• Shentao-YANG / Preference_Grounded_Guidance
  Source codes for "Preference-grounded Token-level Guidance for Language Model Fine-tuning" (NeurIPS 2023).
  ☆16Updated 8 months ago
• princeton-nlp / Edge-Pruning
  [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".
  ☆59Updated last month
• YuxiXie / SelfEval-Guided-Decoding
  ☆100Updated last year
• Zayne-sprague / To-CoT-or-not-to-CoT
  ☆26Updated 5 months ago
• yuzhaouoe / SAE-based-representation-engineering
  [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
  ☆63Updated 9 months ago
• Thartvigsen / GRACE
  [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
  ☆79Updated 8 months ago
• declare-lab / resta
  Restore safety in fine-tuned language models through task arithmetic
  ☆28Updated last year
• tatsu-lab / linguistic_calibration
  Align your LM to express calibrated verbal statements of confidence in its long-form generations.
  ☆27Updated last year
• haotiansun14 / BBox-Adapter
  Lightweight Adapting for Black-Box Large Language Models
  ☆23Updated last year
• ZhaofengWu / counterfactual-evaluation
  ☆57Updated 3 months ago
• ADaM-BJTU / W2SG
  The code of “Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning”
  ☆17Updated last year
• haozheji / exact-optimization
  ICML 2024 - Official Repository for EXO: Towards Efficient Exact Optimization of Language Model Alignment
  ☆58Updated last year
• SihengLi99 / LLM-Honesty-Survey
  [2025-TMLR] A Survey on the Honesty of Large Language Models
  ☆59Updated 9 months ago
• chang-github-00 / LLM-Predictive-Decoding
  ☆14Updated 2 months ago
• BunsenFeng / AbstainQA
  AbstainQA, ACL 2024
  ☆28Updated 11 months ago