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2026-rs-2020-ii201819

Funded outputs count: 24
Funder award ID: 2026-RS-2020-II201819
OpenAlex ID: G5073717115
Efficient training-free query routing framework for federated retrieval-augmented generation
2026 · Hosun Eoo, Yeonho Yoo, et al. · Scientific Reports
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GANADI: Uncovering C/C++ OSS Reuse Genealogies via Pivotal Function-Based Clustering to Enhance Supply Chain Security
2026 · Dongyeon Kim, Seunghoon Woo, et al. · IEEE/ACM International Conference on Automated Software Engineering (ASE) · 1
Accurate Simulation of Distributed Training Jobs with Network Contention Modeling
2026 · Yoo, Yeonho, Lee, Hyunho, et al. · arXiv (Cornell University)
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Not All AI Agents Are Equal: Characterizing Resource and Performance Dynamics
2026 · Choi, Wonmi, Park, Minuk, et al. · arXiv (Cornell University)
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Xronos: Heterogeneity-Aware Tensor Parallelism for Collaborative LLM Fine-Tuning on Edge CPUs
2026 · Choi, Wonmi, Park, Sunjae, et al. · arXiv (Cornell University)
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GeoMesh: Workload-Balanced and Sign-Compressed Geo-Distributed LLM Training
2026 · Shin, Changyong, Park, Jaerim, et al. · arXiv (Cornell University)
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Compositional SVG Generation via VLM-Driven Hierarchical Semantic Parsing
2026 · Park, Sehwan, Kim, Taehoon, et al. · arXiv (Cornell University)
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Parallelism Strategy Chaining for Fast Training Convergence
2026 · Kang, Minchul, Shin, Changyong, et al. · arXiv (Cornell University)
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Reason Through the Latent! Making Latent Visual Reasoning Necessary
2026 · Park, Suhyeong, Jung, Junha, et al. · arXiv (Cornell University)
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Text Capability Loss in Vision-Language Adaptation: An Attention-Sink Diagnosis
2026 · Choi, Minsik, Kim, Geewook, et al. · arXiv (Cornell University)
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Residual Sparsification via Output Importance for Compressing Mixture-of-Experts LLMs
2026 · Jung, Seungwoo, Kwon, Dohyeok, et al. · arXiv (Cornell University)
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SAGE: Semantic Attribute Graphs for Multi-Entity Visual Retrieval
2026 · Kim, Yongjoo, Kwon, Mincheol, et al. · arXiv (Cornell University)
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HiVe: Beyond Static Prompts for Multitask Learning via Hierarchy-based Vertical Mixture-of-Experts
2026 · Bae, Hyeonjik, Kim, Minyeol, et al. · arXiv (Cornell University)
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The Hallucination Signal Is a Mean Shift: Why Simple Probes Suffice
2026 · Lee, Jungseob, Seo, Jaehyung, et al. · arXiv (Cornell University)
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hoBIT: A Profile-Aware Retrieval-Augmented Chatbot for University Academic Advising
2026 · Kim, Yoonseo, Lee, Seongmin, et al. · arXiv (Cornell University)
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Beyond Observed Auxiliary Relations: Environment-Conditioned Modeling for Multi-Behavior Recommendation
2026 · Lee, Seunghan, Yoo, Hyunsik, et al. · arXiv (Cornell University)
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Profiling What Matters: Context-Aware Item Profiles from Large-Scale Metadata for LLM Recommenders
2026 · Hwang, Dojun, Lee, Seunghan, et al. · arXiv (Cornell University)
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SCoRD: Semantic-Assisted Continual Retriever-Reranker Distillation for LLM-Based Recommendation
2026 · Baek, Seunghyun, Lee, Gyuseok, et al. · arXiv (Cornell University)
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TRACER: Balancing Stability-Plasticity-Cognitivity Trilemma for LLM Enhanced Continual Recommendation
2026 · Kim, WooJoo, Yoo, HyunSik, et al. · arXiv (Cornell University)
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DeepSFU: Scalable Deepfake Detection for Video Conferencing
2026 · Tuan Tran, Shirin Ebadi, et al. · ACM SIGCOMM Conference (SIGCOMM)
KidnapRAG: A Black-Box Attack for Hijacking Reasoning in Agentic Retrieval-Augmented Generation Systems
2026 · Choi, Chanwoo, Kim, Euntae, et al. · arXiv (Cornell University)
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Unveiling the Limits of Large Language Models in Inferring Pragmatic Meaning from Non-Verbal Responses
2026 · Eo, Sugyeong, Lim, Heuiseok · arXiv (Cornell University)
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Rationale-Guided Learning for Multimodal Emotion Recognition
2026 · Sujung Oh, Jung Uk Kim, et al. · IEEE International Conference on Acoustics Speech and Signal Processing
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Improving Semantic Proximity in Information Retrieval through Cross-Lingual Alignment
2026 · Hong, Seongtae, Jang, Youngjoon, et al. · arXiv (Cornell University)
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FLAME: Condensing Ensemble Diversity into a Single Network for Efficient Sequential Recommendation
2026 · Kim, WooJoo, Kim, JunYoung, et al. · arXiv (Cornell University)
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