Alternatives and similar repositories for VITATECS

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

• joez17 / VideoNIAH
  VideoNIAH: A Flexible Synthetic Method for Benchmarking Video MLLMs
  ☆47Updated 4 months ago
• yale-nlp / TOMATO
  ☆27Updated 8 months ago
• MikeWangWZHL / Paxion
  Repo for paper: "Paxion: Patching Action Knowledge in Video-Language Foundation Models" Neurips 23 Spotlight
  ☆37Updated 2 years ago
• muirbench / MuirBench
  A Comprehensive Benchmark for Robust Multi-image Understanding
  ☆12Updated 10 months ago
• DAMO-NLP-SG / CMM
  ✨✨The Curse of Multi-Modalities (CMM): Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio
  ☆46Updated last month
• TencentARC / GVT
  Official code for "What Makes for Good Visual Tokenizers for Large Language Models?".
  ☆58Updated 2 years ago
• YiyangZhou / CSR
  [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models
  ☆76Updated last year
• pipilurj / bootstrapped-preference-optimization-BPO
  code for "Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization"
  ☆55Updated 10 months ago
• Yuqifan1117 / HalluciDoctor
  HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)
  ☆45Updated 11 months ago
• patrick-tssn / VideoHallucer
  VideoHallucer, The first comprehensive benchmark for hallucination detection in large video-language models (LVLMs)
  ☆35Updated 3 months ago
• yaolinli / DeCo
  Code for DeCo: Decoupling token compression from semanchc abstraction in multimodal large language models
  ☆40Updated this week
• YuxiXie / V-DPO
  Preference Learning for LLaVA
  ☆46Updated 8 months ago
• takomc / amp
  【NeurIPS 2024】The official code of paper "Automated Multi-level Preference for MLLMs"
  ☆19Updated 9 months ago
• mu-cai / TemporalBench
  TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
  ☆33Updated 8 months ago
• luka-group / mDPO
  [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.
  ☆76Updated 8 months ago
• hanmenghan / Skip-n
  This repository contains the code of our paper 'Skip \n: A simple method to reduce hallucination in Large Vision-Language Models'.
  ☆14Updated last year
• findalexli / mllm-dpo
  [ACL 2024] Multi-modal preference alignment remedies regression of visual instruction tuning on language model
  ☆46Updated 8 months ago
• bcdnlp / FAITHSCORE
  ☆30Updated 4 months ago
• HenryHZY / VL-PET
  [ICCV2023] Official code for "VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control"
  ☆53Updated last year
• YiyangZhou / POVID
  [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
  ☆86Updated last year
• showlab / MovieSeq
  [ECCV 2024] Learning Video Context as Interleaved Multimodal Sequences
  ☆39Updated 4 months ago
• Share14 / ShareGemini
  ☆30Updated 11 months ago
• zjuchenlong / WSAG
  [EMNLP'22] Weakly-Supervised Temporal Article Grounding
  ☆14Updated last year
• JiwanChung / vlis
  ☆24Updated last year
• thunlp / DeepPerception
  DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding
  ☆64Updated last month
• AoiDragon / POPE
  [EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''
  ☆85Updated last year
• yuhui-zh15 / C3
  Official implementation of "Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data" (ICLR 2024)
  ☆32Updated 8 months ago
• HYPJUDY / Sparkles
  Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following Models
  ☆44Updated last year
• zwq2018 / Multi-modal-Self-instruct
  The codebase for our EMNLP24 paper: Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Mo…
  ☆79Updated 5 months ago
• Letian2003 / C-VQA
  Counterfactual Reasoning VQA Dataset
  ☆25Updated last year