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Hallucination

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/anonymousanoy/fohe

공식 코드

Mitigating Fine-Grained Hallucination by Fine-Tuning Large Vision-Language Models with Caption Rewrites

https://github.com/antonisa/inflection

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Pushing the Limits of Low-Resource Morphological Inflection

https://github.com/apple/ml-ferret

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Ferret: Refer and Ground Anything Anywhere at Any Granularity

https://github.com/apple/ml-knowledge-conflicts

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Entity-Based Knowledge Conflicts in Question Answering

https://github.com/asappresearch/halugen

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Enhancing Hallucination Detection through Perturbation-Based Synthetic Data Generation in System Responses

https://github.com/ashikiut/defan

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DefAn: Definitive Answer Dataset for LLMs Hallucination Evaluation

https://github.com/assafbk/mocha_code

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Mitigating Open-Vocabulary Caption Hallucinations

https://github.com/astridesa/edueval

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Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts

https://github.com/bahuia/dog-instruct

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DoG-Instruct: Towards Premium Instruction-Tuning Data via Text-Grounded Instruction Wrapping

https://github.com/baoliang93/fpr

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No-Reference Image Quality Assessment by Hallucinating Pristine Features

https://github.com/barsguy/llm-output-signatures-network

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Learning on LLM Output Signatures for gray-box LLM Behavior Analysis

https://github.com/bebr2/race

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Joint Evaluation of Answer and Reasoning Consistency for Hallucination Detection in Large Reasoning Models

https://github.com/bhattarailab/hallucination-aware-vlm

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Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models

https://github.com/billchan226/halc

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HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding

https://github.com/bio-nlp/medqg

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MCQG-SRefine: Multiple Choice Question Generation and Evaluation with Iterative Self-Critique, Correction, and Comparison Feedback

https://github.com/biomedia-mbzuai/xreal

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XReal: Realistic Anatomy and Pathology-Aware X-ray Generation via Controllable Diffusion Model

https://github.com/biqiwhu/hssh

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Learning Fine-grained Domain Generalization via Hyperbolic State Space Hallucination

https://github.com/bradleypallen/shroom

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SHROOM-INDElab at SemEval-2024 Task 6: Zero- and Few-Shot LLM-Based Classification for Hallucination Detection

https://github.com/bradyfu/awesome-multimodal-large-language-models

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A Survey on Multimodal Large Language Models

https://github.com/bradyfu/woodpecker

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Woodpecker: Hallucination Correction for Multimodal Large Language Models

https://github.com/bronyayang/HallE_Switch

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HallE-Control: Controlling Object Hallucination in Large Multimodal Models

https://github.com/bronyayang/halle_control

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HallE-Control: Controlling Object Hallucination in Large Multimodal Models

https://github.com/bruthyu/melo

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MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA

https://github.com/bryanwilie/pick

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PICK: Polished & Informed Candidate Scoring for Knowledge-Grounded Dialogue Systems

https://github.com/brz911/cchall

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CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models

https://github.com/bscho333/ReVisiT

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Revisit What You See: Disclose Language Prior in Vision Tokens for Efficient Guided Decoding of LVLMs

https://github.com/bytedance/tarsier

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Tarsier2: Advancing Large Vision-Language Models from Detailed Video Description to Comprehensive Video Understanding

https://github.com/caiyuhu/MCiteBench

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MCiteBench: A Multimodal Benchmark for Generating Text with Citations

https://github.com/calubkk/raat

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Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training

https://github.com/casszhao/prunehall

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Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization

https://github.com/cdmalon/selfconsistent

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Self-Consistent Decoding for More Factual Open Responses

https://github.com/cece00/FHSumBench

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Evaluating LLMs' Assessment of Mixed-Context Hallucination Through the Lens of Summarization

https://github.com/cemuluoglakci/hypotermqa

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HypoTermQA: Hypothetical Terms Dataset for Benchmarking Hallucination Tendency of LLMs

https://github.com/chen700564/RGB

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Benchmarking Large Language Models in Retrieval-Augmented Generation

https://github.com/chengpeng-wang/llmdfa

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LLMDFA: Analyzing Dataflow in Code with Large Language Models

https://github.com/chenkaisun/tetris

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Incorporating Task-specific Concept Knowledge into Script Learning

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