주제로 연구실 찾기

1. KAIST·AI 시스템

   김주영CAST Lab

   관련도관련 논문 18편비중 27%
   • 2026APT: Accelerating Diffusion Transformers via Attention Probability-Guided Pruning and QuantizationICCAD
   • 2026Cassandra: Enabling Reasoning LLMs at Edge via Self-Speculative DecodingISCA
   • 2026FastSTAR: Spatiotemporal Token Pruning for Efficient Autoregressive Video SynthesisECCV
2. POSTECH·머신러닝

   이재호EffL Lab

   관련도관련 논문 13편비중 34%연구 분야에 명시
   • 2026Activation Quantization of Vision Encoders Needs Prefixing RegistersECCV
   • 2026KV-COBRA: KV Cache Compression via Co-Optimized Bit-Rank AllocationNeurIPS
   • 2026IterQuant: Iterative Quantization Framework for Mixed-Precision LLM CompressionDATE
3. SNU·데이터 마이닝

   강유Data Mining Lab

   관련도관련 논문 12편비중 18%
   • 2026Accurate Zero-shot Quantization via Hierarchical Teacher-Assistant DistillationECCV
   • 2026LampQ: Towards Accurate Layer-wise Mixed Precision Quantization for Vision TransformersAAAI
   • 2026Learning Diagnostic Clarifying Questions for Conversational Question Answering via Data-Efficient Dynamic DistillationEMNLP
4. SNU·AI 시스템

   김재준VLSI Lab

   관련도관련 논문 8편비중 16%연구 분야에 명시
   • 2026LRAgent: Efficient KV Cache Sharing for Multi-LoRA LLM AgentsICML
   • 2026QWHA: Quantization-Aware Walsh-Hadamard Adaptation for Parameter-Efficient Fine-Tuning on Large Language ModelsICLR
   • 2026FastKV: Decoupling of Context Reduction and KV Cache Compression for Prefill-Decoding AccelerationACL Findings
5. KAIST·컴퓨터 비전

   김준모SIIT Lab

   관련도관련 논문 11편비중 13%
   • 2026Inlier-Centric Post-Training Quantization for Object Detection ModelsICLR
   • 2026MLLMCLIP: Feature-Level Distillation of MLLM for Robust Vision-Language RepresentationsEMNLP
   • 2026IWP: Token Pruning as Implicit Weight Pruning in Large Vision Language ModelsEMNLP Findings
6. SNU·AI 시스템

   유승주CMA Lab

   관련도관련 논문 7편비중 39%연구 분야에 명시
   • 2026LAQuant: A Simple Overhead-free Large Reasoning Model Quantization by Layer-wise Lookahead LossNeurIPS
   • 2026Locality-Aware Redundancy Pruning for LLM Depth CompressionEMNLP
   • 2026PN-Mix: Pair-Norm Guided Mixed-Precision Key Cache Quantization for Efficient Long-Output LLM InferenceEMNLP
7. POSTECH·머신러닝

   이남훈Computational Optimization Lab

   관련도관련 논문 8편비중 31%연구 분야에 명시
   • 2026Hidden in Plain Sight: The Overlooked Significance of Canonical Elements for Extreme LLM SparsityEMNLP
   • 2026The Unseen Frontier: Pushing the Limits of LLM Sparsity with Surrogate-Free ADMMICLR
   • 2026Dynamic Network Compression via Probabilistic Channel PruningNeural Networks
8. KAIST·머신러닝

   황성주MLAI Lab

   관련도관련 논문 13편비중 13%
   • 2026It Takes Two: Complementary Self-Distillation for Contextual Integrity in LLMsNeurIPS
   • 2026Agentic Memory Distillation: Empowering Small LLM Agents with Hierarchical Teacher MemoryEMNLP Findings
   • 2026HINT-SD: Targeted Hindsight Self-Distillation for Long-Horizon AgentsEMNLP Findings
9. KAIST·머신러닝

   윤세영OSI Lab

   관련도관련 논문 12편비중 8%
   • 2026BASTION: Budget-Aware Speculative Decoding with Tree-structured Block Diffusion DraftingNeurIPS
   • 2026Pivot-SD: Efficient Self-Distillation for Masked Diffusion Language ModelsEMNLP
   • 2025DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMsICML
10. Yonsei·AI 시스템

    김상엽EASY Lab

    관련도관련 논문 8편비중 15%연구 분야에 명시
    • 2025EdgeDiff: 418.4mJ/inference Multi-modal Few-step Diffusion Model Accelerator with Mixed-Precision and Reordered Group-QuantizationISSCC
    • 2025EdgeDiff: Energy-Efficient Multi-Modal Few-Step Diffusion Model Accelerator Using Mixed-Precision and Reordered Group QuantizationJSSC
    • 2025A 65.1 TOPS/W Digital CIM Processor for Ultra-Low-Bit Transformers with Multiplexer-Based Adder and Scaling Factor-Based ReorderingISCAS
11. Yonsei·컴퓨터 비전

    이종석MCML Group

    관련도관련 논문 5편비중 16%연구 분야에 명시
    • 2026Coarse-to-fine: Progressive image compression for semantically hierarchical classificationICIP
    • 2026SLIM: Semantic-based low-bitrate image compression for machinesACCV
    • 2026Progressive learned image compression for machine perceptionECCV
12. KAIST·머신러닝

    이주호SIML Lab

    관련도관련 논문 9편비중 11%
    • 2026SAVE: sparsity-aware influence estimation for vocabulary-expanded LLMsNeurIPS
    • 2026SKIM: pruning large language model agents via selective knowledge informed maskingNeurIPS
    • 2025Ensemble distribution distillation via flow matchingICML
13. KAIST·컴퓨터 비전

    윤국진VI Lab

    관련도관련 논문 6편비중 5%
    • 2026Bootstrapping Video Semantic Segmentation Model via Distillation-assisted Test-Time AdaptationCVPR
    • 2026Distill Once, Adapt Life-Long: Exploring Dataset Distillation for Continual Test-Time AdaptationECCV
    • 2026Label-Free Cross-Task LoRA Merging with Null-Space CompressionCVPR
14. SNU·컴퓨터 비전

    조남익ISPL

    관련도관련 논문 8편비중 13%
    • 2026HFSQVAE: Hierarchical Vector Quantization with Residuals for Frequency-Specific EmbeddingICASSP
    • 2026Faithful and Realistic Image Compression at Extreme-Low Bitrate via Pretrained Discrete PriorsIEEE SPL
    • 2025Efficient Attention-Sharing Information Distillation Transformer for Lightweight Single Image Super-ResolutionAAAI
15. KAIST·머신러닝

    문일철AAI Lab

    관련도관련 논문 4편비중 10%연구 분야에 명시
    • 2026AMiD: Knowledge Distillation for LLMs with $\alpha$-mixture Assistant DistributionICLR
    • 2026Distillation of Large Language Models via Concrete Score MatchingICLR
    • 2026WASD: Wasserstein-based Knowledge Distillation for Large Language ModelsNeurIPS
16. KAIST·데이터 마이닝

    신기정Data Mining Lab

    관련도관련 논문 8편비중 9%
    • 2026Effective Dataset Distillation for Spatio-Temporal Forecasting with Bi-dimensional CompressionICDE
    • 2026TaLK: Text-Attributed Graph Dataset Distillation via Coupling Language Model with Graph-Aware KernelEMNLP Findings
    • 2025Compact Lossy Compression of Tensors via Neural Tensor-Train DecompositionKnowledge and Information Systems
17. KAIST·AI 시스템2026 업데이트 중

    김세훈SEAL

    관련도관련 논문 5편비중 36%연구 분야에 명시
    • 2025QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV CacheICML
    • 2024KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache QuantizationNeurIPS
    • 2024SqueezeLLM: Dense-and-Sparse QuantizationICML
18. SNU·머신러닝

    송현오Machine Learning Lab

    관련도관련 논문 6편비중 38%
    • 2026Q-Strata: Hierarchical Bit Allocation for Mixed-Precision Quantization of Mixture-of-Experts LLMsEMNLP
    • 2025GuidedQuant: Large Language Model Quantization via Exploiting End Loss GuidanceICML
    • 2025KVzip: Query-Agnostic KV Cache Compression with Context ReconstructionNeurIPS
19. KAIST·컴퓨터 비전

    홍승훈Vision and Learning Lab

    관련도관련 논문 5편비중 14%
    • 2026AdaRank: Adaptive Rank Pruning for Enhanced Model MergingICLR
    • 2026Infinite Mask Diffusion for Few-Step DistillationICML
    • 2026Multi-View Relational Distillation for Spatial Reasoning with Vision-Language ModelsNeurIPS
20. KAIST·컴퓨터 비전

    심현정CVML Lab

    관련도관련 논문 7편비중 13%
    • 2026What 'Not' to Detect: Negation-Aware VLMs via Structured Reasoning and Token MergingICLR
    • 2025Classifier-guided CLIP Distillation for Unsupervised Multi-label ClassificationCVPR
    • 2025DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion ModelsICLR
21. KAIST·데이터 마이닝

    박찬영DSAIL

    관련도관련 논문 5편비중 5%
    • 2026CompoDistill: Attention Distillation for Compositional Reasoning in Multimodal LLMsICLR
    • 2026SelfJudge: Faster Speculative Decoding via Self-Supervised Judge VerificationICML
    • 2026Sink-Token-Aware Pruning for Fine-Grained Video Understanding in Efficient Video LLMsECCV
22. SNU·컴퓨터 비전

    곽노준MIPAL Lab

    관련도관련 논문 6편비중 7%
    • 2026Fractional Power-of-Two Quantization for Efficient and Effective Multiplier-Free LLM InferenceNeurIPS
    • 2026ReSpinQuant: Efficient Layer-Wise LLM Quantization via Subspace Residual Rotation ApproximationICML
    • 2026Zero-Shot Quantization for Object Detectors using Off-the-Shelf Generative ModelsECCV
23. KAIST·머신러닝

    양은호MLI Lab

    관련도관련 논문 7편비중 9%
    • 2026LFQ: Logit-aware Final-block Quantization for Boosting the Generation Quality of Low-Bit Quantized LLMsICML
    • 2025LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative DecodingICLR
    • 2025LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling MatricesNAACL
24. KAIST·머신러닝

    정혜원IIDS Lab

    관련도관련 논문 6편비중 26%
    • 2026Sample-wise Adaptive Weighting for Transfer Consistency in Adversarial DistillationTMLR
    • 2025CovMatch: Cross-Covariance Guided Multimodal Dataset Distillation with Trainable Text EncoderNeurIPS
    • 2025Rethinking Self-Distillation: Label Averaging and Enhanced Soft Label Refinement with Partial LabelsICLR
25. SNU·AI 시스템

    이재욱ARC Lab

    관련도관련 논문 7편비중 22%
    • 2025DecDEC: A Systems Approach to Advancing Low-Bit LLM QuantizationOSDI
    • 2025FlashTP: Fused, Sparsity-Aware Tensor Product for Machine Learning Interatomic PotentialsICML
    • 2025GuidedQuant: Large Language Model Quantization via Exploiting End-to-End Loss GuidanceICML
26. SNU·컴퓨터 비전

    박재식Visual & Geometric Intelligence Lab

    관련도관련 논문 5편비중 9%
    • 2026Distribution Matching Distillation without Fake Score NetworkNeurIPS
    • 2026Stabilizing Consistency Training: A Flow Map Analysis and Self-DistillationTMLR
    • 2026One-Cycle Structured Pruning via Stability-Driven Subnetwork SearchWACV
27. Yonsei·머신러닝

    노승문AI-ISL

    관련도관련 논문 4편비중 11%연구 분야에 명시
    • 2026Preserve-Then-Quantize: Balancing Rank Budgets for Quantization Error Reconstruction in LLMsICML
    • 2025Assigning Distinct Roles to Quantized and Low-Rank Matrices Toward Optimal Weight DecompositionACL Findings
    • 2023How Does a Transformer Learn Compression? An Attention Study on Huffman and LZ4IEEE Access
28. KAIST·음성·오디오

    정준선Multimodal AI Lab

    관련도관련 논문 5편비중 5%
    • 2026FastAV: Efficient Token Pruning for Audio-Visual Large Language Model InferenceICASSP
    • 2026SPADE: Structured Pruning and Adaptive Distillation for Efficient LLM-TTSICASSP
    • 2026WAND: Windowed Attention and Knowledge Distillation for Efficient Autoregressive Text-to-Speech ModelsINTERSPEECH
29. KU·머신러닝

    이성환PRML Lab

    관련도관련 논문 6편비중 3%
    • 2026Generation-Drift-Guided Block Pruning for Large Language ModelsNeurIPS
    • 2026Negative Contrastive Chain-of-Thought Distillation for Transfer Reasoning Capability to Small Language ModelsIEEE Access
    • 2025DiEmo-TTS: Disentangled Emotion Representations via Self-Supervised Distillation for Cross-Speaker Emotion Transfer in Text-to-SpeechINTERSPEECH
30. SNU·자연어처리·LLM

    황승원LDI Lab

    관련도관련 논문 5편비중 7%
    • 2026TaskPress: Query-Agnostic KV Cache Compression via Task-Guided PruningEMNLP
    • 2026TAGQuant: Token-Aware Clustering for Group-Wise QuantizationEACL
    • 2025STUN: Structured-Then-Unstructured Pruning for Scalable MoE PruningACL
31. KAIST·컴퓨터 비전

    김승룡CV Lab

    관련도관련 논문 5편비중 4%
    • 2026Deep Forcing: Training-Free Long Video Generation with Deep Sink and Participative CompressionICML
    • 2026One Loss Is Not Enough: Cross-Objective Structured Pruning for Reasoning Vision–Language–Action ModelsNeurIPS
    • 2026Video Token Compression via Formation and Selection Distillation in Large Vision Language ModelsNeurIPS
32. SNU·음성·오디오

    이교구MARG

    관련도관련 논문 6편비중 8%
    • 2026Fast Speech Foundation Model Distillation Using Interleaved StackingINTERSPEECH
    • 2025Variable Bitrate Residual Vector Quantization for Audio CodingICASSP
    • 2025Reverse Engineering of Music Mixing Graphs with Differentiable Processors and Iterative PruningJournal of the Audio Engineering Society
33. KAIST·컴퓨터 비전

    김현우MLV Lab

    관련도관련 논문 5편비중 7%
    • 2026DocPrune: Efficient Document Question Answering via Background, Question, and Comprehension-aware Token PruningCVPR
    • 2026Reason in the Words You Speak: Idiolectal Paraphrasing Off-Policy Traces for Reasoning Distillation in VideoLLMsNeurIPS
    • 2025LongVU: Spatiotemporal Adaptive Compression for Long Video-Language UnderstandingICML
34. SNU·AI 시스템

    이진호AISys Lab

    관련도관련 논문 6편비중 15%
    • 2026TopGQ: Fast GNN Post-Training Quantization Leveraging Topology InformationDAC
    • 2025FALQON: Accelerating LoRA Fine-tuning with Low-Bit Floating-Point ArithmeticNeurIPS
    • 2025MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention SimilarityAAAI
35. KAIST·머신러닝

    신진우ALIN Lab

    관련도관련 논문 8편비중 6%
    • 2025Self-Refining Language Model Anonymizers via Adversarial DistillationNeurIPS
    • 2025Mamba Drafters for Speculative DecodingEMNLP Findings
    • 2025Think Clearly: Improving Reasoning via Redundant Token PruningEMNLP Findings
36. SNU·컴퓨터 비전

    전세영ICL

    관련도관련 논문 5편비중 7%
    • 2026AdaRadar: Rate Adaptive Spectral Compression for Radar-based PerceptionCVPR
    • 2026DictLLM: Post-training Compression of Large Language Model with Dictionary KernelsNeurIPS
    • 2025Efficient Personalization of Quantized Diffusion Model without BackpropagationCVPR
37. SNU·머신러닝

    이정우CML Lab

    관련도관련 논문 4편비중 8%
    • 2026An Adaptive Sampling Framework for Diffusion-based Dataset Distillation with High Fidelity and DiversityAAAI
    • 2026Bias Alleviation through Network Pruning for Sparse and Debiased ModelsIEEE TIP
    • 2026Federated Offline Reinforcement Learning with Heterogeneous Client Capacities via Progressive DistillationNeurocomputing
38. KAIST·AI 시스템

    한동수INA Lab

    관련도관련 논문 4편비중 15%
    • 2026Collaborative Reasoning Distillation via Cross-Feedback and Coherent CurationNeurIPS
    • 2026KnapSpec: Self-Speculative Decoding via Adaptive Layer Selection as a Knapsack ProblemICML
    • 2026NerVast: Compression-Efficient Scaling of Implicit Neural Video Representations via Scene-based Parameter-sharingWACV
39. KAIST·컴퓨터 비전

    주재걸DAVIAN Lab

    관련도관련 논문 5편비중 4%
    • 2026Denoised Variance-Based Pruning with Optimal Brain Bias CompensationECCV
    • 2026Robust and Interpretable Adaptation of Equivariant Materials Foundation Models via Sparsity-promoting Fine-tuningICLR
    • 2025Disentangling Subject-Irrelevant Elements against Subject in Personalized Text-to-Image Diffusion via Filtered Self-distillationWACV
40. KAIST·자연어처리·LLM

    김현우COCO Lab

    관련도관련 논문 2편비중 11%연구 분야에 명시
    • 2026DeltaPrompts: Escaping the Zero-Delta Trap in Multimodal DistillationNeurIPS
    • 2023SODA: Million-scale Dialogue Distillation with Social Commonsense ContextualizationEMNLP
41. KAIST·AI for Science

    예종철BISPL

    관련도관련 논문 5편비중 4%
    • 2026Accelerated Image Editing via Consistency-Aware Source Token PruningNeurIPS
    • 2025Inference-Time Diffusion Model DistillationICCV
    • 2024DreamMotion: Space-Time Self-Similarity Score Distillation for Zero-Shot Video EditingECCV
42. SNU·머신러닝

    윤성로AI Lab

    관련도관련 논문 4편비중 4%
    • 2026HeSS: Head Sensitivity Score for Sparsity Redistribution in VGGTCVPR
    • 2026SSDi8: Accurate and Efficient 8-bit Quantization for State Space DualityICLR
    • 2025On Mitigating Stability-Plasticity Dilemma in CLIP-guided Image Morphing via Geodesic Distillation LossIJCV
43. SNU·데이터 마이닝

    장준기

    관련도관련 논문 2편비중 14%연구 분야에 명시
    • 2024Compact Decomposition of Irregular Tensors for Data Compression: From Sparse to Dense to High-Order TensorsKDD
    • 2024Compact Lossy Compression of Tensors via Neural Tensor-Train DecompositionKnowledge and Information Systems
44. SNU·AI 시스템

    김형신AIoT Lab

    관련도관련 논문 1편비중 3%연구 분야에 명시
    • 2026Resource-Adaptivity Beyond the Model: Sensor Control for Quantized On-Device VisionICML
45. SNU·머신러닝

    김태섭LAAL Lab

    관련도관련 논문 3편비중 8%
    • 2026Garbage attention in large language models: Bos sink heads and sink-aware pruningEMNLP
    • 2026Stable On-Policy Distillation through Adaptive Target ReformulationACL Findings
    • 2025ATAS: Any-to-Any Self-Distillation for Enhanced Open-Vocabulary Dense PredictionICCV
46. KAIST·음성·오디오

    남주한MAC Lab

    관련도관련 논문 3편비중 3%
    • 2026SDP-Codec: A Speaker-Decoupled Speech Codec with Pitch Injection for Low-Bitrate Coding and Zero-Shot Voice ConversionINTERSPEECH
    • 2026Transferable Audio Lottery Tickets: Gradient Accumulation for Extreme SparsityICASSP
    • 2025FlashSR: One-step Versatile Audio Super-resolution via Diffusion DistillationICASSP
47. Yonsei·데이터 마이닝

    박상현DELAB

    관련도관련 논문 3편비중 6%
    • 2026GranQ: Efficient Channel-wise Quantization via Vectorized Pre-Scaling for Zero-Shot QATACM SAC
    • 2025Advanced Knowledge Transfer: Refined Feature Distillation for Zero-Shot Quantization in Edge ComputingACM SAC
    • 2025Fixing Truncation-Induced Mode Collapse in GFlowNets via Pruning LossBIBM
48. KU·음성·오디오

    김찬우SLPL

    관련도관련 논문 1편비중 4%연구 분야에 명시
    • 2024Physics Informed Distillation for Diffusion ModelsTMLR
49. KU·자연어처리·LLM

    임희석NLP&AI Lab

    관련도관련 논문 3편비중 3%
    • 2026Beyond Hard Negatives: The Importance of Score Distribution in Knowledge Distillation for Dense RetrievalSIGIR
    • 2025LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMsNAACL
    • 2025HAWK: Highlighting Entity-aware Knowledge for Alleviating Information Sparsity in Long ContextsEMNLP Findings
50. POSTECH·컴퓨터 비전

    곽수하, 조민수, 손진희CV Lab

    관련도관련 논문 3편비중 3%
    • 2026Hide to See: Reasoning-prefix Masking for Visual-anchored Thinking in VLM DistillationNeurIPS
    • 2025Single-Teacher View Augmentation: Boosting Knowledge Distillation via Angular DiversityNeurIPS
    • 2025Harnessing the Power of Training-Free Techniques in Text-to-2D Generation for Text-to-3D Generation via Score Distillation SamplingCVPR
51. POSTECH·머신러닝

    김동우, 옥정슬, 박상돈, 박은혁ML Lab

    관련도관련 논문 3편비중 3%
    • 2026MOB-KV: Mixture of Basis for Key-Value Cache CompressionEMNLP
    • 2025AMQ: Enabling AutoML for Mixed-precision Weight-Only Quantization of Large Language ModelsEMNLP
    • 2025Grouped Speculative Decoding for Autoregressive Image GenerationICCV
52. KU·인간-AI 상호작용

    서승호HUI

    관련도관련 논문 5편비중 8%
    • 2024AI-KD: Adversarial learning and Implicit regularization for self-Knowledge DistillationKnowledge-Based Systems
    • 2024TSAK: Two-Stage Semantic-Aware Knowledge Distillation for Efficient Wearable Modality and Model Optimization in Manufacturing LinesICPR
    • 2024BeSound: Bluetooth-Based Position Estimation Enhancing with Cross-Modality DistillationABC
53. SNU·AI 시스템

    서지원Machine Learning Systems Lab

    관련도관련 논문 2편비중 17%
    • 2026FlexiQ: Adaptive Mixed-Precision Quantization for Latency/Accuracy Trade-Offs in Deep Neural NetworksEuroSys
    • 2026Speculative Verification: Exploiting Information Gain to Refine Speculative DecodingACL Findings
54. KAIST·데이터 마이닝

    박노성BigDyL

    관련도관련 논문 3편비중 4%
    • 2026Global Importance Estimation for KV Cache EvictionNeurIPS
    • 2025MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention SimilarityAAAI
    • 2024Identifying Contemporaneous and Lagged Dependence Structures by Promoting Sparsity in Continuous-time Neural NetworksCIKM
55. SNU·자연어처리·LLM

    유영재PI Lab

    관련도관련 논문 5편비중 5%
    • 2025V.I.P.: Iterative Online Preference Distillation for Efficient Video Diffusion ModelsICCV
    • 2023Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational AgentsEMNLP
    • 2023Localized Symbolic Knowledge Distillation for Visual Commonsense ModelsNeurIPS
56. SNU·컴퓨터 비전

    이준석VIP Lab

    관련도관련 논문 3편비중 5%
    • 2026Robust and Interpretable Adaptation of Equivariant Materials Foundation Models via Sparsity-promoting Fine-tuningICLR
    • 2025GaussianVideo: Efficient Video Representation and Compression by Gaussian SplattingCVPR
    • 2023Exploration into Translation-Equivariant Image QuantizationICASSP
57. KAIST·AI 시스템

    유민수VIA Research Group

    관련도관련 논문 2편비중 7%
    • 2026SpecMoE: A Fast and Efficient Mixture-of-Experts Inference via Self-Assisted Speculative DecodingDAC
    • 2026Exploring KV Cache Quantization in Multimodal Large Language Model InferenceIEEE Computer Architecture Letters
58. KAIST·머신러닝

    문재균

    관련도관련 논문 3편비중 15%
    • 2026PruneFuse: Efficient Data Selection via Weight Pruning and Network FusionTMLR
    • 2024Pruning-based Data Selection and Network Fusion for Efficient Deep LearningNeurIPS
    • 2023NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural NetworksNeurIPS
59. SNU·자연어처리·LLM

    도재영AIDAS Lab

    관련도관련 논문 2편비중 6%
    • 2026Beyond Retraining-Free MoE Compression: A Cost-Normalized Study of Post-Compression AdjustmentEMNLP
    • 2026Unified Static–Dynamic Pruning for Efficient LLM InferenceVLDB
60. KAIST·컴퓨터 비전

    오태현AMI Lab

    관련도관련 논문 3편비중 3%
    • 2026LiDAR-Anchored Collaborative Distillation for Robust 2D RepresentationsIEEE RA-L
    • 2025Self-Supervised Collaborative Distillation: Enhancing Lighting Robustness and 3D AwarenessICCV
    • 2023Multi-stage Adaptive Rank Statistic Pruning for Lightweight Human 3D Mesh Recovery ModelThe Visual Computer

+74

2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.