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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/kaiserwholearns/consistenttokenization

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Tokenization Consistency Matters for Generative Models on Extractive NLP Tasks

https://github.com/kaistai/volcano

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Volcano: Mitigating Multimodal Hallucination through Self-Feedback Guided Revision

https://github.com/kausic94/Hallucination

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Low to High Dimensional Modality Hallucination using Aggregated Fields of View

https://github.com/kenza-ily/mt_hallucination_detection

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Machine Translation Hallucination Detection for Low and High Resource Languages using Large Language Models

https://github.com/kevinliang888/IntroPlan

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Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity

https://github.com/knowlab/halt-medvqa

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Hallucination Benchmark in Medical Visual Question Answering

https://github.com/koenecke/hallucination_harms

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Careless Whisper: Speech-to-Text Hallucination Harms

https://github.com/kuan2jiu99/audio-hallucination

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Understanding Sounds, Missing the Questions: The Challenge of Object Hallucination in Large Audio-Language Models

https://github.com/kurbanintelligencelab/stresstestingmmfmincr

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Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning

https://github.com/laiyuzhi/nvp-hri

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NVP-HRI: Zero Shot Natural Voice and Posture-based Human-Robot Interaction via Large Language Model

https://github.com/lama-west/ontology-based-decoding_ekaw2024

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Ontology-Constrained Generation of Domain-Specific Clinical Summaries

https://github.com/langus0/critic-aware-decoding

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Critic-Driven Decoding for Mitigating Hallucinations in Data-to-text Generation

https://github.com/laquabe/OneNet

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OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting

https://github.com/lb0828/ftg

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Filter-then-Generate: Large Language Models with Structure-Text Adapter for Knowledge Graph Completion

https://github.com/lcy2723/maven-fact

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MAVEN-Fact: A Large-scale Event Factuality Detection Dataset

https://github.com/lean-dojo/leancopilot

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Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

https://github.com/lengendaryhippopotamus/partprompt

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Parse Trees Guided LLM Prompt Compression

https://github.com/lhanchao777/LVLM-Hallucinations-Survey

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A Survey on Hallucination in Large Vision-Language Models

https://github.com/liano3/RAG-fairness

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The Other Side of the Coin: Exploring Fairness in Retrieval-Augmented Generation

https://github.com/liar406/look_again

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Qwen Look Again: Guiding Vision-Language Reasoning Models to Re-attention Visual Information

https://github.com/lihuiliullh/lgot

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Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs

https://github.com/lijm48/imccd

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Mitigating Hallucination for Large Vision Language Model by Inter-Modality Correlation Calibration Decoding

https://github.com/lilys012/known_examples

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Crafting In-context Examples according to LMs' Parametric Knowledge

https://github.com/lingchen0331/uq_icl

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Uncertainty Quantification for In-Context Learning of Large Language Models

https://github.com/liuchengwucn/safe

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Safe: Enhancing Mathematical Reasoning in Large Language Models via Retrospective Step-aware Formal Verification

https://github.com/liuliuyuan6/GOLFer

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GOLFer: Smaller LM-Generated Documents Hallucination Filter & Combiner for Query Expansion in Information Retrieval

https://github.com/llm-editing/HalluEditBench

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Can Knowledge Editing Really Correct Hallucinations?

https://github.com/lluckyyh/xtrust

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XTRUST: On the Multilingual Trustworthiness of Large Language Models

https://github.com/locuslab/diffusion-model-hallucination

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Understanding Hallucinations in Diffusion Models through Mode Interpolation

https://github.com/lookuz/vidhal

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VidHal: Benchmarking Temporal Hallucinations in Vision LLMs

https://github.com/ltu-machine-learning/idocvqa

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Instruction Makes a Difference

https://github.com/luckybird1994/mmcpf

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Chain of Visual Perception: Harnessing Multimodal Large Language Models for Zero-shot Camouflaged Object Detection

https://github.com/luckyyysta/awesome-llm-hallucination

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A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

https://github.com/luka-group/mDPO

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mDPO: Conditional Preference Optimization for Multimodal Large Language Models

https://github.com/luo-junyu/finmme

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FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation

https://github.com/luoxd1996/raos

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Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases

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