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Tingting Gao
Observed name:
Gao, Tingting
Institution:
Kuaishou (China)
Observed institution:
Kuaishou (China)
OpenAlex ID:
A5139808349
LiveStar: Live Streaming Assistant for Real-World Online Video Understanding
2025
·
Zhenyu Yang
, Kairui Zhang
, et al.
·
neural information processing systems
·
2
Beyond Tokens: Dynamic Latent Reasoning via Semantic Residual Refinement
2026
·
Fangrui Lv
, Lei Wang
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
PDF
TIME: Temporal-Sensitive Multi-Dimensional Instruction Tuning and Robust Benchmarking for Video-LLMs
2026
·
Yunxiao Wang
, Meng Liu
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
TIME: Temporal-Sensitive Multi-Dimensional Instruction Tuning and Robust Benchmarking for Video-LLMs
2026
·
Association for Artificial Intelligence 2026
, Bin Wen, Bin
, et al.
·
Underline Science Inc.
Why Can Distillation Work with Limited Resources? A Systematic Study
2026
·
Xiao Hu
, Xingyu Lu
, et al.
·
Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
PDF
Live-Aid: A Large-Scale Dialogue Dataset and Benchmark for Interleaved Multi-party Interactions in Live Streaming
2026
·
Yiming Lei
, Yize Fan
, et al.
·
Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
IGenBench: Benchmarking the Reliability of Text-to-Infographic Generation
2026
·
Yinghao Tang
, Xueding Liu
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
Unlocking Exploration in RLVR: Uncertainty-aware Advantage Shaping for Deeper Reasoning
2026
·
Can Xie
, Ruotong Pan
, et al.
·
Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
PDF
ChapterRL: Chapter-Aware Reward Framework for Novel Generation Reinforcement Learning
2026
·
Bingqian Sun
, Jingchao Yang
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
PDF
Awakening Dormant Users: Modeling Intent Evolution via LLM-based Functional Role Reasoning for Generative Recommendation
2026
·
Huishi Luo
, Shuokai Li
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
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Works count:
12
Citation count:
2
H-index:
1
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