Alternatives and similar repositories for senator

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

• pillowsofwind / Knowledge-Conflicts-Survey
  [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"
  ☆127Updated 9 months ago
• junzhuang-code / LLMSurveySummary
  A collection of survey papers and resources related to Large Language Models (LLMs).
  ☆40Updated last year
• dongguanting / DPA-RAG
  The code and data of DPA-RAG, accepted by WWW 2025 main conference.
  ☆62Updated 5 months ago
• lancopku / label-words-are-anchors
  Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
  ☆165Updated last year
• Hongcheng-Gao / Awesome-Long2short-on-LRMs
  Awesome-Long2short-on-LRMs is a collection of state-of-the-art, novel, exciting long2short methods on large reasoning models. It contains…
  ☆235Updated last month
• AdelWang / KD-CoT
  ☆16Updated last year
• Hannibal046 / xRAG
  [Neurips2024] Source code for xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
  ☆144Updated last year
• MozerWang / Loong
  [EMNLP 2024 (Oral)] Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA
  ☆136Updated 8 months ago
• zhiyuanhubj / UoT
  [NeurIPS 2024] Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models
  ☆98Updated 11 months ago
• StonyBrookNLP / ircot
  Repository for Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions, ACL23
  ☆222Updated last year
• oneal2000 / DRAGIN
  Source code of DRAGIN, ACL 2024 main conference Long Paper (Oral)
  ☆149Updated 4 months ago
• pldlgb / nuggets
  ☆84Updated last year
• OrangeInSouth / DeePEn
  A method of ensemble learning for heterogeneous large language models.
  ☆58Updated 11 months ago
• AmourWaltz / Reliable-LLM
  ☆141Updated 10 months ago
• mikecovlee / mLoRA
  This repository has transferred to https://github.com/TUDB-Labs/MoE-PEFT
  ☆22Updated 11 months ago
• OpenBMB / ParamMute
  ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation
  ☆35Updated 3 weeks ago
• wjn1996 / Chain-of-Knowledge
  ☆22Updated 2 years ago
• sail-sg / sdft
  [ACL 2024] The official codebase for the paper "Self-Distillation Bridges Distribution Gap in Language Model Fine-tuning".
  ☆124Updated 8 months ago
• zhaochen0110 / conflictbank
  Code and data for "ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM" (NeurIPS 2024 Track Datasets and…
  ☆46Updated 2 months ago
• alisawuffles / proxy-tuning
  Code associated with Tuning Language Models by Proxy (Liu et al., 2024)
  ☆114Updated last year
• wangcunxiang / LLM-Factuality-Survey
  The repository for the survey paper <<Survey on Large Language Models Factuality: Knowledge, Retrieval and Domain-Specificity>>
  ☆340Updated last year
• cooperleong00 / Awesome-LLM-Interpretability
  A curated list of LLM Interpretability related material - Tutorial, Library, Survey, Paper, Blog, etc..
  ☆258Updated 3 months ago
• RuochenZhao / Verify-and-Edit
  A framework for editing the CoTs for better factuality
  ☆51Updated last year
• liunian-Jay / Awesome-RAG
  An up-to-date curated list of Retrieval-Augmented Generation (RAG) for LLMs.
  ☆115Updated last month
• sail-sg / CPO
  [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.
  ☆124Updated 3 months ago
• liuqidong07 / MOELoRA-peft
  [SIGIR'24] The official implementation code of MOELoRA.
  ☆172Updated 11 months ago
• hrwise-nlp / ToolsMeetLLMs
  ☆31Updated 2 months ago
• RAG-Gym / RAG-Gym
  Official repository for RAG-Gym
  ☆106Updated 4 months ago
• SparkJiao / dpo-trajectory-reasoning
  [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".
  ☆80Updated 6 months ago
• amazon-science / ContextualUnderstanding-ContrastiveDecoding
  Enhancing contextual understanding in large language models through contrastive decoding
  ☆18Updated last year