Alternatives and similar repositories for Seeker

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

• Yifan-Song793 / GoodBadGreedy
  The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism
  ☆30Updated last year
• MileBench / MileBench
  This repo contains evaluation code for the paper "MileBench: Benchmarking MLLMs in Long Context"
  ☆36Updated last year
• hkust-nlp / mstar
  [ICML 2025] M-STAR (Multimodal Self-Evolving TrAining for Reasoning) Project. Diving into Self-Evolving Training for Multimodal Reasoning
  ☆70Updated 6 months ago
• namespace-Pt / UltraGist
  ☆18Updated last year
• yegcjs / DiffusionLLM
  Code for paper "Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning"
  ☆84Updated last year
• GAIR-NLP / weak-to-strong-reasoning
  ☆58Updated last year
• TobiasLee / VEC
  Visual and Embodied Concepts evaluation benchmark
  ☆21Updated 2 years ago
• RUCAIBox / JiuZhang3.0
  The code and data for the paper JiuZhang3.0
  ☆49Updated last year
• Shwai-He / MEO
  The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":
  ☆44Updated last year
• JIA-Lab-research / Mr-Ben
  This is the repo for our paper "Mr-Ben: A Comprehensive Meta-Reasoning Benchmark for Large Language Models"
  ☆51Updated last year
• SihengLi99 / TextBind
  [2024-ACL]: TextBind: Multi-turn Interleaved Multimodal Instruction-following in the Wildrounded Conversation
  ☆47Updated 2 years ago
• dqxiu / KAssess
  ☆14Updated 2 years ago
• kiaia / GIRAFFE
  Extending context length of visual language models
  ☆12Updated last year
• LUMIA-Group / PonderingLM
  Official implementation of the paper "Pretraining Language Models to Ponder in Continuous Space"
  ☆24Updated 6 months ago
• sail-sg / scaling-with-vocab
  [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623
  ☆89Updated last year
• ShadeCloak / ADORA
  ☆47Updated 9 months ago
• hkust-nlp / Laser
  Laser: Learn to Reason Efficiently with Adaptive Length-based Reward Shaping
  ☆62Updated 7 months ago
• hkust-nlp / RL-Verifier-Robustness
  From Accuracy to Robustness: A Study of Rule- and Model-based Verifiers in Mathematical Reasoning.
  ☆24Updated 3 months ago
• TingchenFu / MathIF
  instruction-following benchmark for large reasoning models
  ☆44Updated 5 months ago
• leezythu / FocusLLM
  FocusLLM: Scaling LLM’s Context by Parallel Decoding
  ☆44Updated last year
• vlf-silkie / VLFeedback
  ☆101Updated 2 years ago
• princeton-nlp / PTP
  Improving Language Understanding from Screenshots. Paper: https://arxiv.org/abs/2402.14073
  ☆31Updated last year
• DAMO-NLP-SG / CLEX
  [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models
  ☆78Updated last year
• sail-sg / ActivePRM
  ☆20Updated 9 months ago
• chenllliang / MMEvalPro
  [NAACL 2025] Source code for MMEvalPro, a more trustworthy and efficient benchmark for evaluating LMMs
  ☆24Updated last year
• jinzhuoran / RAG-RewardBench
  RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
  ☆16Updated last year
• HYPJUDY / Sparkles
  Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following Models
  ☆44Updated last year
• wwxu21 / CUT
  Source code of "Reasons to Reject? Aligning Language Models with Judgments"
  ☆58Updated last year
• RLHFlow / RAFT
  This is an official implementation of the Reward rAnked Fine-Tuning Algorithm (RAFT), also known as iterative best-of-n fine-tuning or re…
  ☆38Updated last year
• Kwai-Klear / RLEP
  RL with Experience Replay
  ☆52Updated 5 months ago