Alternatives and similar repositories for infogent

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

• OSU-NLP-Group / Middleware
  Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments (EMNLP'2024)
  ☆37Updated 7 months ago
• para-lost / ReBase
  ReBase: Training Task Experts through Retrieval Based Distillation
  ☆29Updated 6 months ago
• salesforce / summary-of-a-haystack
  Codebase accompanying the Summary of a Haystack paper.
  ☆79Updated 11 months ago
• ContextualAI / CLAIR_and_APO
  Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment
  ☆60Updated 11 months ago
• bespokelabsai / verifiers
  Verifiers for LLM Reinforcement Learning
  ☆71Updated 4 months ago
• yueqis / API-Based-Agent
  ☆55Updated 2 months ago
• tianyang-x / SaySelf
  Public code repo for paper "SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales"
  ☆110Updated 11 months ago
• ytyz1307zzh / RefAug
  Code for EMNLP 2024 paper "Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning"
  ☆55Updated 10 months ago
• Tebmer / Rereading-LLM-Reasoning
  EMNLP 2024 "Re-reading improves reasoning in large language models". Simply repeating the question to get bidirectional understanding for…
  ☆26Updated 8 months ago
• SALT-NLP / demonstrated-feedback
  ☆126Updated 10 months ago
• mungg / FABLES
  ☆57Updated 11 months ago
• nlp-uoregon / ullme
  ☆20Updated 4 months ago
• orionw / promptriever
  The first dense retrieval model that can be prompted like an LM
  ☆83Updated 3 months ago
• allenai / infinigram-api
  ☆77Updated last week
• THU-KEG / Agentic-Reward-Modeling
  [ACL 2025] Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems
  ☆101Updated 2 months ago
• pgasawa / BARE
  Leveraging Base Language Models for Few-Shot Synthetic Data Generation
  ☆33Updated last month
• sher222 / LeReT
  Learning to Retrieve by Trying - Source code for Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval
  ☆49Updated 9 months ago
• AbhilashaRavichander / information-probing
  ☆11Updated 3 months ago
• siyuyuan / evoagent
  Resources for our paper: "EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms"
  ☆121Updated 10 months ago
• du-nlp-lab / MLR-Copilot
  ☆66Updated 4 months ago
• dinobby / MAgICoRE
  ☆24Updated 11 months ago
• TsinghuaC3I / SSRL
  SSRL: Self-Search Reinforcement Learning
  ☆85Updated last week
• yale-nlp / SciArena
  Analysis code for paper "SciArena: An Open Evaluation Platform for Foundation Models in Scientific Literature Tasks"
  ☆47Updated 3 weeks ago
• arcee-ai / DAM
  ☆54Updated 9 months ago
• metal-chart-generation / metal
  ☆37Updated 2 months ago
• SalesforceAIResearch / FoFo
  ☆27Updated 7 months ago
• gersteinlab / Struc-Bench
  [NAACL 2024] Struc-Bench: Are Large Language Models Good at Generating Complex Structured Tabular Data? https://aclanthology.org/2024.naa…
  ☆54Updated 3 weeks ago
• zou-group / sirius
  SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning
  ☆61Updated last month
• allenai / hybrid-preferences
  Learning to route instances for Human vs AI Feedback (ACL 2025 Main)
  ☆23Updated last month
• Anni-Zou / Meta-CoT
  Meta-CoT: Generalizable Chain-of-Thought Prompting in Mixed-task Scenarios with Large Language Models
  ☆97Updated last year