주제로 연구실 찾기

1. SNU·머신러닝

   이상학Causality Lab

   관련도관련 논문 4편비중 14%
   • 2026Counterfactual Structural Causal BanditsICLR
   • 2026Beyond Bounds: Quantifying the Probability of Counterfactual FairnessUAI
   • 2026Canonical Domain Reduction for Partial Counterfactual IdentificationUAI
2. SNU·머신러닝

   윤성로AI Lab

   관련도관련 논문 6편비중 6%
   • 2026HEAR Who Said What: Unlocking Speaker-Attributed Reasoning via Counterfactual Voice GroundingEMNLP
   • 2026SAVE: Sparse Autoencoder‑Driven Visual Information Enhancement for Mitigating Object HallucinationWACV
   • 2025Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and CoverageICML
3. SNU·머신러닝

   김태섭LAAL Lab

   관련도관련 논문 4편비중 11%
   • 2026Hallucination as Commitment Failure: Larger LLMs Misfire Despite Knowing the AnswerNeurIPS
   • 2026Attention-space Contrastive Guidance for Efficient Hallucination Mitigation in LVLMsCVPR Findings
   • 2026KoSimpleQA: A Korean Factuality Benchmark with an Analysis of Reasoning LLMsCOLM
4. KU·자연어처리·LLM

   임희석NLP&AI Lab

   관련도관련 논문 6편비중 6%
   • 2026The Geometry of Hallucination Detection: Why Simple Probes Are SufficientEMNLP
   • 2025K-HALU: Multiple Answer Korean Hallucination Benchmark for Large Language ModelsICLR
   • 2025The Impact of Negated Text on Hallucination with Large Language ModelsEMNLP
5. KU·머신러닝

   이성환PRML Lab

   관련도관련 논문 6편비중 3%
   • 2025Counterfactual Explanation Through Latent Adjustment in Disentangled Space of Diffusion ModelIEEE TNNLS
   • 2025Towards Fine-Grained Interpretability: Counterfactual Explanations for Misclassification with Saliency PartitionCVPR
   • 2025Semantic Prioritization in Visual Counterfactual Explanations with Weighted Segmentation and Auto-Adaptive Region SelectionNeural Networks
6. SNU·자연어처리·LLM

   이재윤SKI-ML Lab

   관련도관련 논문 1편비중 4%연구 분야에 명시
   • 2025GraphCheck: Multi-Path Fact-Checking with Entity-Relationship GraphsEMNLP Findings
7. Yonsei·머신러닝

   송경우MLAI Lab

   관련도관련 논문 3편비중 4%
   • 2026Emergent Communication Under MisinformationICML
   • 2026Geometry-Adaptive Explainer for Faithful Dictionary-Based Interpretability under Distribution ShiftNeurIPS
   • 2024CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated TextEMNLP Findings
8. SNU·자연어처리·LLM

   정교민MI Lab

   관련도관련 논문 4편비중 5%
   • 2025FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of KnowledgeEMNLP
   • 2025Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided DecodingNAACL Findings
   • 2024MVMR: A New Framework for Evaluating Faithfulness of Video Moment Retrieval against Multiple DistractorsCIKM
9. KAIST·컴퓨터 비전

   오태현AMI Lab

   관련도관련 논문 3편비중 3%
   • 2026SVHalluc: Benchmarking Speech–Vision Hallucination in Audio-Visual Large Language ModelsCVPR
   • 2025AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language ModelsICLR
   • 2024BEAF: Observing Before-AFter Changes to Evaluate Hallucination in Vision-language ModelsECCV
10. SNU·자연어처리·LLM

    도재영AIDAS Lab

    관련도관련 논문 3편비중 9%
    • 2026RFEval: Benchmarking Reasoning Faithfulness under Counterfactual Reasoning Intervention in Large Reasoning ModelsICLR
    • 2025SECOND: Mitigating Perceptual Hallucination in Vision-Language Models via Selective and Contrastive DecodingICML
    • 2023Grounding counterfactual explanation of image classifiers to textual concept spaceCVPR
11. KAIST·컴퓨터 비전

    노용만IVY Lab

    관련도관련 논문 3편비중 4%
    • 2026MAD: Modality-Adaptive Decoding for Mitigating Cross-Modal Hallucinations in Multimodal Large Language ModelsCVPR
    • 2024CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal ModelsNeurIPS
    • 2024What if...?: Thinking Counterfactual Keywords Helps to Mitigate Hallucination in Large Multi-modal ModelsEMNLP
12. SNU·인간-AI 상호작용

    서진욱Human-Computer Interaction Lab

    관련도관련 논문 2편비중 4%
    • 2026Disentangling Visual and Factual Correctness in LVLMs' Visualization LiteracyIEEE TVCG
    • 2026Readability vs. Faithfulness: Unveiling Correlations between Graph Aesthetics and DR QualityEuroVis Workshop
13. SNU·컴퓨터 비전

    김건희Vision & Learning Lab

    관련도관련 논문 3편비중 5%
    • 2025ChartCap: Mitigating Hallucination of Dense Chart CaptioningICCV
    • 2025HalLoc: Token-level Localization of Hallucinations for Vision Language ModelsCVPR
    • 2024TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language ModelsACL Findings
14. SNU·데이터 마이닝

    박현우DIAL Lab

    관련도관련 논문 2편비중 5%
    • 2026Faithful yet Collusive: Why Chain-of-Thought Monitoring Cannot Detect Collusion in LLM Pricing Agents under Oligopolistic CompetitionEMNLP Findings
    • 2025HaluCheck: Explainable and verifiable automation for detecting hallucinations in LLM responsesExpert Systems with Applications
15. KAIST·데이터 마이닝

    황의종Data Intelligence Lab

    관련도관련 논문 2편비중 8%
    • 2026Harnessing Temporal Databases for Systematic Evaluation of Factual Time-Sensitive Question-Answering in Large Language ModelsICLR
    • 2024ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language ModelsNeurIPS
16. Yonsei·머신러닝

    손지용ITML Lab

    관련도관련 논문 2편비중 8%
    • 2026Beyond Uniform Detection: Adaptive Hallucination Detection for RAG Across Response RegimesNeurIPS
    • 2024Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM ResponsesICLR
17. KU·컴퓨터 비전

    박경문VGI Lab

    관련도관련 논문 2편비중 4%
    • 2026DARE to Mitigate Hallucination: Dual-path Auto-Regressive-aware EditingECCV
    • 2024CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated TextEMNLP Findings
18. SNU·자연어처리·LLM

    조요한

    관련도관련 논문 2편비중 4%
    • 2026Fine-Grained Multi Image Object Hallucination BenchmarkCVPR
    • 2024Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual InformationNAACL Findings
19. KAIST·자연어처리·LLM

    오혜연U&I Lab

    관련도관련 논문 2편비중 3%
    • 2026Investigating Counterfactual Unfairness in LLMs towards Identities through HumorACL
    • 2024Multi-FAct: Assessing Factuality of Multilingual LLMs using FActScoreCOLM
20. SNU·자연어처리·LLM

    황승원LDI Lab

    관련도관련 논문 2편비중 3%
    • 2025Agent-as-Judge for Factual Summarization of Long NarrativesEMNLP
    • 2025Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language ModelsACL
21. KAIST·음성·오디오

    정준선Multimodal AI Lab

    관련도관련 논문 2편비중 2%
    • 2025AVCD: Mitigating Hallucinations in Audio-Visual Large Language Models through Contrastive DecodingNeurIPS
    • 2025AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language ModelsICLR
22. KAIST·컴퓨터 비전

    심현정CVML Lab

    관련도관련 논문 2편비중 4%
    • 2025Evaluating Image Hallucination in Text-to-Image Generation with Question-AnsweringAAAI
    • 2024Preventing Image Hallucination in Text-to-Image Generation through Factual Image RetrievalIJCAI
23. KAIST·머신러닝

    최재식SAIL Lab

    관련도관련 논문 2편비중 4%
    • 2025Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS ModelsINTERSPEECH
    • 2023Impact of Co-occurrence on Factual Knowledge of Large Language ModelsEMNLP Findings
24. Yonsei·컴퓨터 비전

    오유진OMAEL

    관련도관련 논문 1편비중 9%
    • 2026Improving Factuality of 3D Brain MRI Report Generation with Paired Image-domain Retrieval and Text-domain AugmentationMICCAI
25. SNU·머신러닝

    양인순LDS Lab

    관련도관련 논문 1편비중 4%
    • 2026Sharpness-aware minimization can hallucinate minimizersICML
26. Yonsei·데이터 마이닝

    이경호ICL

    관련도관련 논문 1편비중 4%
    • 2026LLMs as Knowledge Graph Refiners: Mitigating Factual Inconsistencies in Generative Knowledge ExtractionACL
27. KAIST·자연어처리·LLM

    서민준LK Lab

    관련도관련 논문 2편비중 3%
    • 2024How Do Large Language Models Acquire Factual Knowledge During Pretraining?NeurIPS
    • 2024Volcano: Mitigating Multimodal Hallucination through Self-Feedback Guided RevisionNAACL
28. Yonsei·데이터 마이닝

    장백철ANDLab

    관련도관련 논문 1편비중 3%
    • 2026MAGNET: Counterfactual samples synthesizing for mitigating hallucination in large language modelsPLOS ONE
29. SNU·컴퓨터 비전

    이준석VIP Lab

    관련도관련 논문 1편비중 2%
    • 2026Fine-Grained Multi-Image Object Hallucination BenchmarkCVPR
30. SNU·컴퓨터 비전

    조남익ISPL

    관련도관련 논문 1편비중 2%
    • 2026Faithful and Realistic Image Compression at Extreme-Low Bitrate via Pretrained Discrete PriorsIEEE SPL
31. KAIST·AI for Science

    최윤재

    관련도관련 논문 1편비중 2%
    • 2026K-FinHallu: A Hallucination Detection Benchmark for Multi-Turn RAG in Korean FinanceEMNLP Findings
32. Yonsei·데이터 마이닝

    박상현DELAB

    관련도관련 논문 1편비중 2%
    • 2026Segment Anything Model Guided Dual-Mask Framework for Anatomically Faithful Medical Image TranslationScientific Reports
33. SNU·자연어처리·LLM

    유영재PI Lab

    관련도관련 논문 1편비중 1%
    • 2026Investigating Counterfactual Unfairness in LLMs towards Identities through HumorACL
34. KAIST·컴퓨터 비전

    김승룡CV Lab

    관련도관련 논문 1편비중 1%
    • 2026TAG: Tangential Amplifying Guidance for Hallucination-Resistant Diffusion SamplingICML
35. KAIST·컴퓨터 비전

    김준모SIIT Lab

    관련도관련 논문 1편비중 1%
    • 2026Module Specialization in Transformer Factual Recall under Correlated Fact DistributionsNeurIPS
36. KAIST·컴퓨터 비전

    김현우MLV Lab

    관련도관련 논문 1편비중 1%
    • 2026Context Blindness in DPO: Mitigating Object Hallucination in MLLMs via Context-Calibrated Preference OptimizationECCV
37. KAIST·음성·오디오

    남주한MAC Lab

    관련도관련 논문 1편비중 1%
    • 2026CounterFlow: A Two-Phase Inference-Time Sampling for Counterfactual Video Foley GenerationCVPR
38. KAIST·데이터 마이닝

    신기정Data Mining Lab

    관련도관련 논문 1편비중 1%
    • 2026Improving Rare Medication Recommendation with Counterfactual Data Augmentation and Large Language ModelsRecSys
39. KU·자연어처리·LLM

    정우환Autonomous AI Lab

    관련도관련 논문 1편비중 6%
    • 2025CARE: A Framework for Correcting Numerical Hallucinations in LLM-Generated Financial TextsCAI
40. SNU·인간-AI 상호작용2026 업데이트 중

    이준환HCI+D Lab

    관련도관련 논문 1편비중 4%
    • 2025Balancing Artificial Intelligence and Human Expertise: Ideal Fact-Checking Strategies for Hard and Soft NewsJournalism & Mass Communication Quarterly
41. KAIST·머신러닝

    오성준STAI Lab

    관련도관련 논문 1편비중 2%
    • 2025Mitigating Shortcut Learning with Diffusion Counterfactuals and Diverse EnsemblesICLR
42. SNU·컴퓨터 비전

    전세영ICL

    관련도관련 논문 1편비중 1%
    • 2025On Epistemic Uncertainty of Visual Tokens for Object Hallucinations in Large Vision-Language ModelsNeurIPS
43. KAIST·인간-AI 상호작용

    김주호KIXLAB

    관련도관련 논문 1편비중 1%
    • 2025Iffy-Or-Not: Critically Evaluating Potential Misinformation With Fallacy Detection and Socratic Questioning Using LLMsTOCHI
44. KAIST·컴퓨터 비전

    주재걸DAVIAN Lab

    관련도관련 논문 1편비중 1%
    • 2025What to Preserve and What to Transfer: Faithful, Identity-Preserving Diffusion-based Hairstyle TransferAAAI
45. POSTECH·머신러닝

    김동우, 옥정슬, 박상돈, 박은혁ML Lab

    관련도관련 논문 1편비중 1%
    • 2025PruneCD: Contrasting Pruned Self Model to Improve Decoding FactualityEMNLP
46. KU·AI for Science

    석흥일Machine Intelligence Lab

    관련도관련 논문 1편비중 2%
    • 2025A Quantitatively Interpretable Model for Alzheimer’s Disease Prediction Using Deep CounterfactualsNeuroImage
47. Yonsei·머신러닝

    조성배SCLAB

    관련도관련 논문 1편비중 1%
    • 2025Fuzzy Contrastive Decoding to Alleviate Object Hallucination in Large Vision-Language ModelsICCV
48. KAIST·데이터 마이닝

    황지영Big Data Intelligence Lab

    관련도관련 논문 1편비중 5%
    • 2024Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual NoiseNAACL Findings
49. SNU·머신러닝

    문태섭M.IN.D Lab

    관련도관련 논문 1편비중 2%
    • 2024Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? – A Theoretical and Empirical StudyNeurIPS
50. KAIST·머신러닝

    성영철SISReL

    관련도관련 논문 1편비중 3%
    • 2023Off-policy multi-agent policy optimization with multi-step counterfactual advantage estimationAdaptive and Learning Agents (ALA) Workshop at AAMAS
51. KU·음성·오디오

    김찬우SLPL

    관련도관련 논문 1편비중 4%
    • 2023Counterfactual two-stage debiasing for video corpus moment retrievalICASSP

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