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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/stanford-oval/genie-worksheets

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Controllable and Reliable Knowledge-Intensive Task-Oriented Conversational Agents with Declarative Genie Worksheets

https://github.com/stanford-oval/wikichat

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WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia

https://github.com/starrYYxuan/LeCo

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Learning From Correctness Without Prompting Makes LLM Efficient Reasoner

https://github.com/starreeze/efuf

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EFUF: Efficient Fine-grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models

https://github.com/stefanhgm/patient_summaries_with_llms

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A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models

https://github.com/sterzhang/image-textualization

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Image Textualization: An Automatic Framework for Creating Accurate and Detailed Image Descriptions

https://github.com/stevetich/eventhallusion

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EventHallusion: Diagnosing Event Hallucinations in Video LLMs

https://github.com/stonybrooknlp/ircot

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Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions

https://github.com/suhyeok24/ft-cadis

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Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness

https://github.com/sunchongren/onioneval

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OnionEval: An Unified Evaluation of Fact-conflicting Hallucination for Small-Large Language Models

https://github.com/sunnweiwei/mixcl

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Contrastive Learning Reduces Hallucination in Conversations

https://github.com/sunyiyou/SAT

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Why and How LLMs Hallucinate: Connecting the Dots with Subsequence Associations

https://github.com/sy-shi/RLAIF_ScoreDiff

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Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models

https://github.com/sycny/rae

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Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering

https://github.com/takomc/amp

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Automated Multi-level Preference for MLLMs

https://github.com/tal-aurorax/scen

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Scalable Model Editing via Customized Expert Networks

https://github.com/tangg555/ngep-eventplan

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NGEP: A Graph-based Event Planning Framework for Story Generation

https://github.com/teacherpeterpan/self-correction-llm-papers

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Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

https://github.com/technion-cs-nlp/hallucination-mitigation

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Constructing Benchmarks and Interventions for Combating Hallucinations in LLMs

https://github.com/teddy-f-47/self-learning-llm-public

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Into the Unknown: Self-Learning Large Language Models

https://github.com/teddy-li/llm-nli-analysis

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Sources of Hallucination by Large Language Models on Inference Tasks

https://github.com/teddy-xionggz/truthhypo

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Toward Reliable Biomedical Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models

https://github.com/terrierteam/pyterrier_doc2query

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Doc2Query--: When Less is More

https://github.com/terry-xu-666/visual_inference_chain

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Thinking Before Looking: Improving Multimodal LLM Reasoning via Mitigating Visual Hallucination

https://github.com/the-martyr/causalmm

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Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality

https://github.com/thu-keg/kola

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KoLA: Carefully Benchmarking World Knowledge of Large Language Models

https://github.com/tianhao-qi/bacl

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Balanced Classification: A Unified Framework for Long-Tailed Object Detection

https://github.com/tianwenzhou/prodehaze

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ProDehaze: Prompting Diffusion Models Toward Faithful Image Dehazing

https://github.com/tianyi-lab/hallusionbench

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HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models

https://github.com/tju-ecat-ai/automaticreviewgeneration

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Automated Review Generation Method Based on Large Language Models

https://github.com/tntwow/code_reasoning

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Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment

https://github.com/tohidarehman/hallucination-reduction-text-summarization

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Hallucination Reduction in Long Input Text Summarization

https://github.com/tongji-kgllm/rag-survey

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Retrieval-Augmented Generation for Large Language Models: A Survey

https://github.com/tongji-kgllm/u-niah

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U-NIAH: Unified RAG and LLM Evaluation for Long Context Needle-In-A-Haystack

https://github.com/toolbehonest/toolbehonest

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ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models

https://github.com/toosi/feedback_feedforward_alignment

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Brain-like Flexible Visual Inference by Harnessing Feedback-Feedforward Alignment

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