본문으로 건너뛰기
Korea AI Labs

환각·사실성

Hallucination & Factuality · 연구실 51곳 · 논문 97편

다른 주제·대학과 함께 찾기
POSTECH1/15
KU6/23
Yonsei7/37
KAIST19/57
SNU18/84
칸 하나가 연구실 하나예요. 이 주제 논문이 많을수록 밝아요.

관련 연구실

등급은 학회·저널 분류이며 연구실 순위가 아닙니다.

  1. SNU머신러닝

    이상학Causality Lab

    관련 논문 4편비중 14%
    • 2026Counterfactual Structural Causal Bandits ICLR
    • 2026Beyond Bounds: Quantifying the Probability of Counterfactual Fairness UAI
    • 2026Canonical Domain Reduction for Partial Counterfactual Identification UAI
  2. SNU머신러닝

    윤성로AI Lab

    관련 논문 6편비중 6%
    • 2026HEAR Who Said What: Unlocking Speaker-Attributed Reasoning via Counterfactual Voice Grounding EMNLP
    • 2026SAVE: Sparse Autoencoder‑Driven Visual Information Enhancement for Mitigating Object Hallucination WACV
    • 2025Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage ICML
  3. SNU머신러닝

    김태섭LAAL Lab

    관련 논문 4편비중 11%
    • 2026Hallucination as Commitment Failure: Larger LLMs Misfire Despite Knowing the Answer NeurIPS
    • 2026Attention-space Contrastive Guidance for Efficient Hallucination Mitigation in LVLMs CVPR Findings
    • 2026KoSimpleQA: A Korean Factuality Benchmark with an Analysis of Reasoning LLMs COLM
  4. KU자연어처리·LLM

    임희석NLP&AI Lab

    관련 논문 6편비중 6%
    • 2026The Geometry of Hallucination Detection: Why Simple Probes Are Sufficient EMNLP
    • 2025K-HALU: Multiple Answer Korean Hallucination Benchmark for Large Language Models ICLR
    • 2025The Impact of Negated Text on Hallucination with Large Language Models EMNLP
  5. KU머신러닝

    이성환PRML Lab

    관련 논문 6편비중 3%
    • 2025Counterfactual Explanation Through Latent Adjustment in Disentangled Space of Diffusion Model IEEE TNNLS
    • 2025Towards Fine-Grained Interpretability: Counterfactual Explanations for Misclassification with Saliency Partition CVPR
    • 2025Semantic Prioritization in Visual Counterfactual Explanations with Weighted Segmentation and Auto-Adaptive Region Selection Neural Networks
  6. SNU자연어처리·LLM

    이재윤SKI-ML Lab

    관련 논문 1편비중 4%연구 분야에 명시
    • 2025GraphCheck: Multi-Path Fact-Checking with Entity-Relationship Graphs EMNLP Findings
  7. Yonsei머신러닝

    송경우MLAI Lab

    관련 논문 3편비중 4%
    • 2026Emergent Communication Under Misinformation ICML
    • 2026Geometry-Adaptive Explainer for Faithful Dictionary-Based Interpretability under Distribution Shift NeurIPS
    • 2024CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Text EMNLP Findings
  8. SNU자연어처리·LLM

    정교민MI Lab

    관련 논문 4편비중 5%
    • 2025FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge EMNLP
    • 2025Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding NAACL Findings
    • 2024MVMR: A New Framework for Evaluating Faithfulness of Video Moment Retrieval against Multiple Distractors CIKM
  9. KAIST컴퓨터 비전

    오태현AMI Lab

    관련 논문 3편비중 3%
    • 2026SVHalluc: Benchmarking Speech–Vision Hallucination in Audio-Visual Large Language Models CVPR
    • 2025AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models ICLR
    • 2024BEAF: Observing Before-AFter Changes to Evaluate Hallucination in Vision-language Models ECCV
  10. SNU자연어처리·LLM

    도재영AIDAS Lab

    관련 논문 3편비중 9%
    • 2026RFEval: Benchmarking Reasoning Faithfulness under Counterfactual Reasoning Intervention in Large Reasoning Models ICLR
    • 2025SECOND: Mitigating Perceptual Hallucination in Vision-Language Models via Selective and Contrastive Decoding ICML
    • 2023Grounding counterfactual explanation of image classifiers to textual concept space CVPR
  11. KAIST컴퓨터 비전

    노용만IVY Lab

    관련 논문 3편비중 4%
    • 2026MAD: Modality-Adaptive Decoding for Mitigating Cross-Modal Hallucinations in Multimodal Large Language Models CVPR
    • 2024CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models NeurIPS
    • 2024What if...?: Thinking Counterfactual Keywords Helps to Mitigate Hallucination in Large Multi-modal Models EMNLP
  12. SNU인간-AI 상호작용

    서진욱Human-Computer Interaction Lab

    관련 논문 2편비중 4%
    • 2026Disentangling Visual and Factual Correctness in LVLMs' Visualization Literacy IEEE TVCG
    • 2026Readability vs. Faithfulness: Unveiling Correlations between Graph Aesthetics and DR Quality EuroVis Workshop
  13. SNU컴퓨터 비전

    김건희Vision & Learning Lab

    관련 논문 3편비중 5%
    • 2025ChartCap: Mitigating Hallucination of Dense Chart Captioning ICCV
    • 2025HalLoc: Token-level Localization of Hallucinations for Vision Language Models CVPR
    • 2024TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models ACL Findings
  14. SNU데이터 마이닝

    박현우DIAL Lab

    관련 논문 2편비중 5%
    • 2026Faithful yet Collusive: Why Chain-of-Thought Monitoring Cannot Detect Collusion in LLM Pricing Agents under Oligopolistic Competition EMNLP Findings
    • 2025HaluCheck: Explainable and verifiable automation for detecting hallucinations in LLM responses Expert Systems with Applications
  15. KAIST데이터 마이닝

    황의종Data Intelligence Lab

    관련 논문 2편비중 8%
    • 2026Harnessing Temporal Databases for Systematic Evaluation of Factual Time-Sensitive Question-Answering in Large Language Models ICLR
    • 2024ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models NeurIPS
  16. Yonsei머신러닝

    손지용ITML Lab

    관련 논문 2편비중 8%
    • 2026Beyond Uniform Detection: Adaptive Hallucination Detection for RAG Across Response Regimes NeurIPS
    • 2024Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM Responses ICLR
  17. KU컴퓨터 비전

    박경문VGI Lab

    관련 논문 2편비중 4%
    • 2026DARE to Mitigate Hallucination: Dual-path Auto-Regressive-aware Editing ECCV
    • 2024CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Text EMNLP Findings
  18. SNU자연어처리·LLM

    조요한

    관련 논문 2편비중 4%
    • 2026Fine-Grained Multi Image Object Hallucination Benchmark CVPR
    • 2024Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information NAACL Findings
  19. KAIST자연어처리·LLM

    오혜연U&I Lab

    관련 논문 2편비중 3%
    • 2026Investigating Counterfactual Unfairness in LLMs towards Identities through Humor ACL
    • 2024Multi-FAct: Assessing Factuality of Multilingual LLMs using FActScore COLM
  20. SNU자연어처리·LLM

    황승원LDI Lab

    관련 논문 2편비중 3%
    • 2025Agent-as-Judge for Factual Summarization of Long Narratives EMNLP
    • 2025Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language Models ACL
  21. KAIST음성·오디오

    정준선Multimodal AI Lab

    관련 논문 2편비중 2%
    • 2025AVCD: Mitigating Hallucinations in Audio-Visual Large Language Models through Contrastive Decoding NeurIPS
    • 2025AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models ICLR
  22. KAIST컴퓨터 비전

    심현정CVML Lab

    관련 논문 2편비중 4%
    • 2025Evaluating Image Hallucination in Text-to-Image Generation with Question-Answering AAAI
    • 2024Preventing Image Hallucination in Text-to-Image Generation through Factual Image Retrieval IJCAI
  23. KAIST머신러닝

    최재식SAIL Lab

    관련 논문 2편비중 4%
    • 2025Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models INTERSPEECH
    • 2023Impact of Co-occurrence on Factual Knowledge of Large Language Models EMNLP Findings
  24. Yonsei컴퓨터 비전

    오유진OMAEL

    관련 논문 1편비중 9%
    • 2026Improving Factuality of 3D Brain MRI Report Generation with Paired Image-domain Retrieval and Text-domain Augmentation MICCAI
  25. SNU머신러닝

    양인순LDS Lab

    관련 논문 1편비중 4%
    • 2026Sharpness-aware minimization can hallucinate minimizers ICML
  26. Yonsei데이터 마이닝

    이경호ICL

    관련 논문 1편비중 4%
    • 2026LLMs as Knowledge Graph Refiners: Mitigating Factual Inconsistencies in Generative Knowledge Extraction ACL
  27. KAIST자연어처리·LLM

    서민준LK Lab

    관련 논문 2편비중 3%
    • 2024How Do Large Language Models Acquire Factual Knowledge During Pretraining? NeurIPS
    • 2024Volcano: Mitigating Multimodal Hallucination through Self-Feedback Guided Revision NAACL
  28. Yonsei데이터 마이닝

    장백철ANDLab

    관련 논문 1편비중 3%
    • 2026MAGNET: Counterfactual samples synthesizing for mitigating hallucination in large language models PLOS ONE
  29. SNU컴퓨터 비전

    이준석VIP Lab

    관련 논문 1편비중 2%
    • 2026Fine-Grained Multi-Image Object Hallucination Benchmark CVPR
  30. SNU컴퓨터 비전

    조남익ISPL

    관련 논문 1편비중 2%
    • 2026Faithful and Realistic Image Compression at Extreme-Low Bitrate via Pretrained Discrete Priors IEEE SPL
  31. KAISTAI for Science

    최윤재

    관련 논문 1편비중 2%
    • 2026K-FinHallu: A Hallucination Detection Benchmark for Multi-Turn RAG in Korean Finance EMNLP Findings
  32. Yonsei데이터 마이닝

    박상현DELAB

    관련 논문 1편비중 2%
    • 2026Segment Anything Model Guided Dual-Mask Framework for Anatomically Faithful Medical Image Translation Scientific Reports
  33. SNU자연어처리·LLM

    유영재PI Lab

    관련 논문 1편비중 1%
    • 2026Investigating Counterfactual Unfairness in LLMs towards Identities through Humor ACL
  34. KAIST컴퓨터 비전

    김승룡CV Lab

    관련 논문 1편비중 1%
    • 2026TAG: Tangential Amplifying Guidance for Hallucination-Resistant Diffusion Sampling ICML
  35. KAIST컴퓨터 비전

    김준모SIIT Lab

    관련 논문 1편비중 1%
    • 2026Module Specialization in Transformer Factual Recall under Correlated Fact Distributions NeurIPS
  36. KAIST컴퓨터 비전

    김현우MLV Lab

    관련 논문 1편비중 1%
    • 2026Context Blindness in DPO: Mitigating Object Hallucination in MLLMs via Context-Calibrated Preference Optimization ECCV
  37. KAIST음성·오디오

    남주한MAC Lab

    관련 논문 1편비중 1%
    • 2026CounterFlow: A Two-Phase Inference-Time Sampling for Counterfactual Video Foley Generation CVPR
  38. KAIST데이터 마이닝

    신기정Data Mining Lab

    관련 논문 1편비중 1%
    • 2026Improving Rare Medication Recommendation with Counterfactual Data Augmentation and Large Language Models RecSys
  39. KU자연어처리·LLM

    정우환Autonomous AI Lab

    관련 논문 1편비중 6%
    • 2025CARE: A Framework for Correcting Numerical Hallucinations in LLM-Generated Financial Texts CAI
  40. SNU인간-AI 상호작용2026 업데이트 중

    이준환HCI+D Lab

    관련 논문 1편비중 4%
    • 2025Balancing Artificial Intelligence and Human Expertise: Ideal Fact-Checking Strategies for Hard and Soft News Journalism & Mass Communication Quarterly
  41. KAIST머신러닝

    오성준STAI Lab

    관련 논문 1편비중 2%
    • 2025Mitigating Shortcut Learning with Diffusion Counterfactuals and Diverse Ensembles ICLR
  42. SNU컴퓨터 비전

    전세영ICL

    관련 논문 1편비중 1%
    • 2025On Epistemic Uncertainty of Visual Tokens for Object Hallucinations in Large Vision-Language Models NeurIPS
  43. KAIST인간-AI 상호작용

    김주호KIXLAB

    관련 논문 1편비중 1%
    • 2025Iffy-Or-Not: Critically Evaluating Potential Misinformation With Fallacy Detection and Socratic Questioning Using LLMs TOCHI
  44. KAIST컴퓨터 비전

    주재걸DAVIAN Lab

    관련 논문 1편비중 1%
    • 2025What to Preserve and What to Transfer: Faithful, Identity-Preserving Diffusion-based Hairstyle Transfer AAAI
  45. POSTECH머신러닝

    김동우, 옥정슬, 박상돈, 박은혁ML Lab

    관련 논문 1편비중 1%
    • 2025PruneCD: Contrasting Pruned Self Model to Improve Decoding Factuality EMNLP
  46. KUAI for Science

    석흥일Machine Intelligence Lab

    관련 논문 1편비중 2%
    • 2025A Quantitatively Interpretable Model for Alzheimer’s Disease Prediction Using Deep Counterfactuals NeuroImage
  47. Yonsei머신러닝

    조성배SCLAB

    관련 논문 1편비중 1%
    • 2025Fuzzy Contrastive Decoding to Alleviate Object Hallucination in Large Vision-Language Models ICCV
  48. KAIST데이터 마이닝

    황지영Big Data Intelligence Lab

    관련 논문 1편비중 5%
    • 2024Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual Noise NAACL Findings
  49. SNU머신러닝

    문태섭M.IN.D Lab

    관련 논문 1편비중 2%
    • 2024Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? – A Theoretical and Empirical Study NeurIPS
  50. KAIST머신러닝

    성영철SISReL

    관련 논문 1편비중 3%
    • 2023Off-policy multi-agent policy optimization with multi-step counterfactual advantage estimation Adaptive and Learning Agents (ALA) Workshop at AAMAS
  51. KU음성·오디오

    김찬우SLPL

    관련 논문 1편비중 4%
    • 2023Counterfactual two-stage debiasing for video corpus moment retrieval ICASSP