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Hallucination

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코드

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

https://github.com/openbmb/rageval

공식 코드

RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework

https://github.com/opendatalab/craft

공식 코드

Utilize the Flow before Stepping into the Same River Twice: Certainty Represented Knowledge Flow for Refusal-Aware Instruction Tuning

https://github.com/opendatalab/h2rsvlm

공식 코드

VHM: Versatile and Honest Vision Language Model for Remote Sensing Image Analysis

https://github.com/opendatalab/ha-dpo

공식 코드

Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization

https://github.com/opendatalab/vhm

공식 코드

VHM: Versatile and Honest Vision Language Model for Remote Sensing Image Analysis

https://github.com/opendatalab/vigc

공식 코드

VIGC: Visual Instruction Generation and Correction

https://github.com/opengvlab/all-seeing

공식 코드

The All-Seeing Project V2: Towards General Relation Comprehension of the Open World

https://github.com/opengvlab/internvl

공식 코드

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

https://github.com/opengvlab/multi-modality-arena

공식 코드

LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models

https://github.com/openkg-org/easydetect

공식 코드

Unified Hallucination Detection for Multimodal Large Language Models

https://github.com/openlamm/lamm

공식 코드

ChEF: A Comprehensive Evaluation Framework for Standardized Assessment of Multimodal Large Language Models

https://github.com/oskyhn/DelftBikes

공식 코드

Hallucination In Object Detection -- A Study In Visual Part Verification

https://github.com/osome-iu/chatgpt_domain_rating

공식 코드

Accuracy and Political Bias of News Source Credibility Ratings by Large Language Models

https://github.com/osome-iu/llm_domain_rating

공식 코드

Accuracy and Political Bias of News Source Credibility Ratings by Large Language Models

https://github.com/osu-nlp-group/eval-llm-trust

공식 코드

How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their Vulnerabilities

https://github.com/particlemedia/ragtruth

공식 코드

RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

https://github.com/pavanbaswani/fincausal_sharedtask-2023

공식 코드

Fine-grained Contract NER using instruction based model

https://github.com/pds-dpo/pds-dpo

공식 코드

Multimodal Preference Data Synthetic Alignment with Reward Model

https://github.com/peggypytang/urlcomsum

공식 코드

Efficient and Interpretable Compressive Text Summarisation with Unsupervised Dual-Agent Reinforcement Learning

https://github.com/pengboci/graphrag-survey

공식 코드

Graph Retrieval-Augmented Generation: A Survey

https://github.com/peter-fy/cfmad

공식 코드

Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs

https://github.com/pku-icst-mipl/dyfo_cvpr2025

공식 코드

DyFo: A Training-Free Dynamic Focus Visual Search for Enhancing LMMs in Fine-Grained Visual Understanding

https://github.com/pku-yuangroup/chatlaw

공식 코드

Chatlaw: A Multi-Agent Collaborative Legal Assistant with Knowledge Graph Enhanced Mixture-of-Experts Large Language Model

https://github.com/pku-yuangroup/hallucination-attack

공식 코드

LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples

https://github.com/pkunlp-icler/mic

공식 코드

MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning

https://github.com/plageon/HtmlRAG

공식 코드

HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems

https://github.com/pmorerio/admd

공식 코드

Learning with privileged information via adversarial discriminative modality distillation

https://github.com/poloclub/mememo

공식 코드

MeMemo: On-device Retrieval Augmentation for Private and Personalized Text Generation

https://github.com/potsawee/mqag0

공식 코드

MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in Summarization

https://github.com/potsawee/selfcheckgpt

공식 코드

SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

https://github.com/pranonrahman/chartsumm

공식 코드

ChartSumm: A Comprehensive Benchmark for Automatic Chart Summarization of Long and Short Summaries

https://github.com/primate-mh/primate2022

공식 코드

Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts

https://github.com/princeton-nlp/NLProofS

공식 코드

Generating Natural Language Proofs with Verifier-Guided Search

https://github.com/princeton-nlp/alce

공식 코드

Enabling Large Language Models to Generate Text with Citations

https://github.com/progsi/ytuncoverllm

공식 코드

A Benchmark and Robustness Study of In-Context-Learning with Large Language Models in Music Entity Detection

https://github.com/project-miracl/nomiracl

공식 코드

"Knowing When You Don't Know": A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation

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