Zhitao Li

28 papers A* 3A 2B 1Misc 4Journal 14Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models.
ACL (Findings)
Huangyw Huangyw, Yong Zhang, Ning Cheng, Zhitao Li, Shaojun Wang, Jing Xiao
2025 J jnl
Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models.
CoRR
Yanwen Huang, Yong Zhang, Ning Cheng, Zhitao Li, Shaojun Wang, Jing Xiao
2025 A* conf
GRASP: Replace Redundant Layers with Adaptive Singular Parameters for Efficient Model Compression.
EMNLP
Kainan Liu, Yong Zhang, Ning Cheng, Zhitao Li, Shaojun Wang, Jing Xiao
2025 J jnl
Rethinking Layer Removal: Preserving Critical Components with Task-Aware Singular Value Decomposition.
CoRR
Kainan Liu, Yong Zhang, Ning Cheng, Zhitao Li, Shaojun Wang, Jing Xiao
2025 Misc conf
Self-Enhanced Reasoning Training: Activating Latent Reasoning in Small Models for Enhanced Reasoning Distillation.
ICASSP
Yong Zhang, Bingyuan Zhang, Zhitao Li, Ming Li, Ning Cheng, Minchuan Chen, Tao Wei, Jun Ma, Shaojun Wang, Jing Xiao
2025 J jnl
Self-Enhanced Reasoning Training: Activating Latent Reasoning in Small Models for Enhanced Reasoning Distillation.
CoRR
Yong Zhang, Bingyuan Zhang, Zhitao Li, Ming Li, Ning Cheng, Minchuan Chen, Tao Wei, Jun Ma, Shaojun Wang, Jing Xiao
2024 — conf
From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning.
NAACL-HLT
Ming Li, Yong Zhang, Zhitao Li, Jiuhai Chen, Lichang Chen, Ning Cheng, Jianzong Wang, Tianyi Zhou, Jing Xiao
2024 Misc conf
Leveraging Biases in Large Language Models: "bias-kNN" for Effective Few-Shot Learning.
ICASSP
Yong Zhang, Hanzhang Li, Zhitao Li, Ning Cheng, Ming Li, Jing Xiao, Jianzong Wang
2024 J jnl
Leveraging Biases in Large Language Models: "bias-kNN" for Effective Few-Shot Learning.
CoRR
Yong Zhang, Hanzhang Li, Zhitao Li, Ning Cheng, Ming Li, Jing Xiao, Jianzong Wang
2024 J jnl
PFID: Privacy First Inference Delegation Framework for LLMs.
CoRR
Haoyan Yang, Zhitao Li, Yong Zhang, Jianzong Wang, Ning Cheng, Ming Li, Jing Xiao
2024 B conf
QLSC: A Query Latent Semantic Calibrator for Robust Extractive Question Answering.
IJCNN
Sheng Ouyang, Jianzong Wang, Yong Zhang, Zhitao Li, Ziqi Liang, Xulong Zhang, Ning Cheng, Jing Xiao
2024 J jnl
QLSC: A Query Latent Semantic Calibrator for Robust Extractive Question Answering.
CoRR
Sheng Ouyang, Jianzong Wang, Yong Zhang, Zhitao Li, Ziqi Liang, Xulong Zhang, Ning Cheng, Jing Xiao
2024 — conf
Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning.
ACL (1)
Ming Li, Yong Zhang, Shwai He, Zhitao Li, Hongyu Zhao, Jianzong Wang, Ning Cheng, Tianyi Zhou
2024 J jnl
Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning.
CoRR
Ming Li, Yong Zhang, Shwai He, Zhitao Li, Hongyu Zhao, Jianzong Wang, Ning Cheng, Tianyi Zhou
2023 A conf
Boosting Chinese ASR Error Correction with Dynamic Error Scaling Mechanism.
INTERSPEECH
Jiaxin Fan, Yong Zhang, Hanzhang Li, Jianzong Wang, Zhitao Li, Sheng Ouyang, Ning Cheng, Jing Xiao
2023 J jnl
Boosting Chinese ASR Error Correction with Dynamic Error Scaling Mechanism.
CoRR
Jiaxin Fan, Yong Zhang, Hanzhang Li, Jianzong Wang, Zhitao Li, Sheng Ouyang, Ning Cheng, Jing Xiao
2023 Misc conf
Efficient Uncertainty Estimation with Gaussian Process for Reliable Dialog Response Retrieval.
ICASSP
Tong Ye, Zhitao Li, Jianzong Wang, Ning Cheng, Jing Xiao
2023 J jnl
Efficient Uncertainty Estimation with Gaussian Process for Reliable Dialog Response Retrieval.
CoRR
Tong Ye, Zhitao Li, Jianzong Wang, Ning Cheng, Jing Xiao
2023 J jnl
From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning.
CoRR
Ming Li, Yong Zhang, Zhitao Li, Jiuhai Chen, Lichang Chen, Ning Cheng, Jianzong Wang, Tianyi Zhou, Jing Xiao
2023 A* conf
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models.
AAAI
Tong Ye, Shijing Si, Jianzong Wang, Ning Cheng, Zhitao Li, Jing Xiao
2023 J jnl
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models.
CoRR
Tong Ye, Shijing Si, Jianzong Wang, Ning Cheng, Zhitao Li, Jing Xiao
2023 A* conf
PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter.
EMNLP
Haoyan Yang, Zhitao Li, Yong Zhang, Jianzong Wang, Ning Cheng, Ming Li, Jing Xiao
2023 J jnl
PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter.
CoRR
Haoyan Yang, Zhitao Li, Yong Zhang, Jianzong Wang, Ning Cheng, Ming Li, Jing Xiao
2023 A conf
Prompt Guided Copy Mechanism for Conversational Question Answering.
INTERSPEECH
Yong Zhang, Zhitao Li, Jianzong Wang, Yiming Gao, Ning Cheng, Fengying Yu, Jing Xiao
2023 J jnl
Prompt Guided Copy Mechanism for Conversational Question Answering.
CoRR
Yong Zhang, Zhitao Li, Jianzong Wang, Yiming Gao, Ning Cheng, Fengying Yu, Jing Xiao
2022 Misc conf
Self-Attention for Incomplete Utterance Rewriting.
ICASSP
Yong Zhang, Zhitao Li, Jianzong Wang, Ning Cheng, Jing Xiao
2022 J jnl
Self-Attention for Incomplete Utterance Rewriting.
CoRR
Yong Zhang, Zhitao Li, Jianzong Wang, Ning Cheng, Jing Xiao
2021 — conf
Semantic Embedding Graph Convolutional Networks for Multi-label Video Segment Classification.
PAAP
Zhitao Li, Jianzong Wang, Ning Cheng, Jing Xiao