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Xing Sun
Institution:
Tencent (China)
Observed institution:
Tencent (China)
ORCID:
0000-0001-8132-9083
Observed ORCID:
0000-0001-8132-9083
OpenAlex ID:
A5144907272
Sinkhorn Distance Minimization for Knowledge Distillation
2024
·
Xiao Cui
, Yulei Qin
, et al.
·
Language Resources and Evaluation Conference (LREC)
·
4
PDF
Human Cognition Inspired RAG with Knowledge Graph for Complex Problem Solving
2026
·
Yao Cheng
, Yibo Zhao
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
2
VITA-Audio: Fast Interleaved Audio-Text Token Generation for Efficient Large Speech-Language Model
2025
·
Zuwei Long
, Yunhang Shen
, et al.
·
neural information processing systems
·
2
Incentivizing Reasoning for Advanced Instruction-Following of Large Language Models
2025
·
Yulei Qin
, Gang Li
, et al.
·
neural information processing systems
·
1
TPLA: Tensor Parallel Latent Attention for Efficient Disaggregated Prefill & Decode Inference
2026
·
Xiaojuan Tang
, Fanxu Meng
, et al.
·
International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)
Breaking the Evaluation Paradox: Evaluating High-Entropy Search with Computationally Irreducible Constraints
2026
·
Juntao Wu
, Wei Wen
, et al.
·
Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
PDF
Collision to Cognition: Hash-Driven Graph Construction for Efficient RAG
2026
·
Chuang Zhou
, Zheng Yuan
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
Query-Aware Knowledge Retrieval via Hyperbolic Structuring
2026
·
Chuang Zhou
, Junnan Dong
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
TransMLA: Migrating GQA Models to MLA with Full DeepSeek Compatibility and Speedup
2025
·
Fanxu Meng
, Pingzhi Tang
, et al.
·
neural information processing systems
LTD-Bench: Evaluating Large Language Models by Letting Them Draw
2025
·
Liuhao Lin
, Ke Li
, et al.
·
neural information processing systems
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Works count:
10
Citation count:
9
H-index:
2
I10-index:
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