Alternatives and similar repositories for HaELM:

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

• d-ailin / CLIP-Guided-Decoding
  ☆17Updated 8 months ago
• bcdnlp / FAITHSCORE
  ☆28Updated last month
• yuezih / less-is-more
  Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)
  ☆46Updated 5 months ago
• luka-group / mDPO
  [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.
  ☆71Updated 5 months ago
• albertwy / GPT-4V-Evaluation
  Data for evaluating GPT-4V
  ☆11Updated last year
• gyhdog99 / MoCLE
  MoCLE (First MLLM with MoE for instruction customization and generalization!) (https://arxiv.org/abs/2312.12379)
  ☆35Updated last year
• Yangyi-Chen / CoTConsistency
  The released data for paper "Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models".
  ☆32Updated last year
• gzcch / Bingo
  ☆54Updated last year
• lscpku / VITATECS
  ☆18Updated 9 months ago
• Yuqifan1117 / HalluciDoctor
  HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)
  ☆45Updated 9 months ago
• yfzhang114 / LLaVA-Align
  This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual Debias Decoding strat…
  ☆78Updated last month
• zjunlp / Deco
  [ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation
  ☆54Updated 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 / LURE
  [ICLR 2024] Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
  ☆146Updated 11 months ago
• findalexli / mllm-dpo
  [ACL 2024] Multi-modal preference alignment remedies regression of visual instruction tuning on language model
  ☆41Updated 5 months ago
• sangminwoo / AvisC
  Official pytorch implementation of "Don't Miss the Forest for the Trees: Attentional Vision Calibration for Large Vision Language Models"
  ☆14Updated 9 months ago
• AoiDragon / POPE
  [EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''
  ☆82Updated last year
• JiwanChung / vlis
  ☆24Updated last year
• OpenKG-ORG / EasyDetect
  An Easy-to-use Hallucination Detection Framework for LLMs.
  ☆58Updated last year
• YiyangZhou / CSR
  [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models
  ☆71Updated 10 months ago
• joez17 / VideoNIAH
  VideoNIAH: A Flexible Synthetic Method for Benchmarking Video MLLMs
  ☆47Updated last month
• yaolinli / DeCo
  ☆34Updated 9 months ago
• GasolSun36 / MVP
  Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning
  ☆20Updated 7 months ago
• OpenMatch / UniVL-DR
  [ICLR 2023] This is the code repo for our ICLR‘23 paper "Universal Vision-Language Dense Retrieval: Learning A Unified Representation Spa…
  ☆50Updated 9 months ago
• starreeze / efuf
  the official repo for EMNLP 2024 (main) paper "EFUF: Efficient Fine-grained Unlearning Framework for Mitigating Hallucinations in Multimo…
  ☆19Updated last week
• yiren-jian / BLIText
  [NeurIPS 2023] Bootstrapping Vision-Language Learning with Decoupled Language Pre-training
  ☆24Updated last year
• MichaelZhouwang / VLUE
  This repo contains codes and instructions for baselines in the VLUE benchmark.
  ☆41Updated 2 years ago
• open-vision-language / infoseek
  ☆45Updated last year
• Lookuz / VidHal
  Codebase for VidHal: Benchmarking Hallucinations in Vision LLMs
  ☆12Updated last month
• X-PLUG / mPLUG-HalOwl
  mPLUG-HalOwl: Multimodal Hallucination Evaluation and Mitigating
  ☆94Updated last year