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Xiao Ding

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

54

Venues

8

Active years

2013–2026

Best venue rank

A*

Where they publish

Papers

54 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLLarge Language Models Are Still Misled by Simple Bias Ensembles.Zhouhao Sun, Zhiyuan Kan, Xiao Ding, Li Du, Bibo Cai, Yang Zhao, Bing Qin, Ting Liu
2026ACLMDC-Bench: A Multidisciplinary Causal Benchmark Based on Causal Structures for Evaluating Large Language Models.Peng Wang, Yuxiong Yan, Xiao Ding, Kai Xiong, Bibo Cai, Chao Peng, Yutai Hou, Dandan Tu, Bing Qin, Ting Liu
2026ACLTinyJudge: Unverifiable Constraint Alignment via Lightweight Specialist Ensembles.Yirong Zeng, Yufei Liu, Xiao Ding, Yutai Hou, Yuxian Wang, Wu Ning, Haonan Song, Dandan Tu, Qixun Zhang, Yuxiang He, Bibo Cai, Ting Liu
2026ACLIs EEG-to-Text Feasible in Real-World Scenarios? An In-Depth Analysis Using a Neuropsychology-Inspired Benchmark.Zihan Zhang, Yu Bao, Xiao Ding, Tianyi Jiang, Kai Xiong
2026ACLConsolidation or Adaptation? PRISM: Disentangling SFT and RL Data via Gradient Concentration.Yang Zhao, Yangou Ouyang, Xiao Ding, Hepeng Wang, Bibo Cai, Kai Xiong, Jinglong Gao, Zhouhao Sun, Li Du, Bing Qin, Ting Liu
2026ACLMAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward Optimization.Yang Zhao, Hepeng Wang, Xiao Ding, Yangou Ouyang, Bibo Cai, Kai Xiong, Jinglong Gao, Zhouhao Sun, Li Du, Bing Qin, Ting Liu
2025ACLCom² : A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models.Kai Xiong, Xiao Ding, Yixin Cao, Yuxiong Yan, Li Du, Yufei Zhang, Jinglong Gao, Jiaqian Liu, Bing Qin, Ting Liu
2025ACLExpeTrans: LLMs Are Experiential Transfer Learners.Jinglong Gao, Xiao Ding, Lingxiao Zou, Bibo Cai, Bing Qin, Ting Liu
2025ACLNatural Logic at the Core: Dynamic Rewards for Entailment Tree Generation.Jihao Shi, Xiao Ding, Kai Xiong, Hengwei Zhao, Bing Qin, Ting Liu
2025ACLAnalyzing the Rapid Generalization of SFT via the Perspective of Attention Head Activation Patterns.Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin
2025ACLBeyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection.Yang Zhao, Li Du, Xiao Ding, Yangou Ouyang, Hepeng Wang, Kai Xiong, Jinglong Gao, Zhouhao Sun, Dongliang Xu, Qing Yang, Dongchen Li, Bing Qin, Ting Liu
2025EMNLPTowards Transferable Personality Representation Learning based on Triplet Comparisons and Its Applications.Kai Tang, Rui Wang, Renyu Zhu, Minmin Lin, Xiao Ding, Tangjie Lv, Changjie Fan, Runze Wu, Haobo Wang
2025EMNLPTool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch.Yirong Zeng, Xiao Ding, Yutai Hou, Yuxian Wang, Li Du, Juyi Dai, Qiuyang Ding, Duyu Tang, Dandan Tu, Weiwen Liu, Bing Qin, Ting Liu
2025EMNLPiTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use.Yirong Zeng, Xiao Ding, Yuxian Wang, Weiwen Liu, Yutai Hou, Wu Ning, Xu Huang, Duyu Tang, Dandan Tu, Bing Qin, Ting Liu
2025ICASSPBridging Neural and Symbolic Reasoning: A Dual-System Framework for Interpretable Question Answering.Jihao Shi, Xiao Ding, Hengwei Zhao, Ting Liu, Bing Qin
2025NAACLExploring Large Language Models for Effective Rumor Detection on Social Media.Yirong Zeng, Xiao Ding, Bibo Cai, Ting Liu, Bing Qin
2024AAAILink Prediction in Multilayer Networks via Cross-Network Embedding.Guojing Ren, Xiao Ding, Xiao-Ke Xu, Hai-Feng Zhang
2024ACLSelf-Evolving GPT: A Lifelong Autonomous Experiential Learner.Jinglong Gao, Xiao Ding, Yiming Cui, Jianbai Zhao, Hepeng Wang, Ting Liu, Bing Qin
2024ACLOn LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey.Lin Long, Rui Wang, Ruixuan Xiao, Junbo Zhao, Xiao Ding, Gang Chen, Haobo Wang
2024ACLCausal-Guided Active Learning for Debiasing Large Language Models.Zhouhao Sun, Li Du, Xiao Ding, Yixuan Ma, Yang Zhao, Kaitao Qiu, Ting Liu, Bing Qin
2024ACLLearning Geometry-Aware Representations for New Intent Discovery.Kai Tang, Junbo Zhao, Xiao Ding, Runze Wu, Lei Feng, Gang Chen, Haobo Wang
2024ACLDeciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning.Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Zhouhao Sun, Shi Jun, Ting Liu, Bing Qin
2024COLINGTowards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation.Zhouhao Sun, Xiao Ding, Li Du, Bibo Cai, Jinglong Gao, Ting Liu, Bing Qin
2024COLINGRU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict.Yirong Zeng, Xiao Ding, Yi Zhao, Xiangyu Li, Jie Zhang, Chao Yao, Ting Liu, Bing Qin
2023AAAISelf-Supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning.Bibo Cai, Xiao Ding, Zhouhao Sun, Bing Qin, Ting Liu, Baojun Wang, Lifeng Shang
2023ACLTowards Stable Natural Language Understanding via Information Entropy Guided Debiasing.Li Du, Xiao Ding, Zhouhao Sun, Ting Liu, Bing Qin, Jingshuo Liu
2023ACLNoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing.Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu
2023EMNLPIs ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation.Jinglong Gao, Xiao Ding, Bing Qin, Ting Liu
2023EMNLPExamining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate.Kai Xiong, Xiao Ding, Yixin Cao, Ting Liu, Bing Qin
2022AAAIMitigating Reporting Bias in Semi-supervised Temporal Commonsense Inference with Probabilistic Soft Logic.Bibo Cai, Xiao Ding, Bowen Chen, Li Du, Ting Liu
2022ACLA Graph Enhanced BERT Model for Event Prediction.Li Du, Xiao Ding, Yue Zhang, Ting Liu, Bing Qin
2022ACLe-CARE: a New Dataset for Exploring Explainable Causal Reasoning.Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin
2022COLINGCogBERT: Cognition-Guided Pre-trained Language Models.Xiao Ding, Bowen Chen, Li Du, Bing Qin, Ting Liu
2022EMNLPSTGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing.Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu
2022EMNLPReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks.Kai Xiong, Xiao Ding, Zhongyang Li, Li Du, Ting Liu, Bing Qin, Yi Zheng, Baoxing Huai
2021ACLLearning Event Graph Knowledge for Abductive Reasoning.Li Du, Xiao Ding, Ting Liu, Bing Qin
2021ACLExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning.Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin
2021EMNLPNeural Natural Logic Inference for Interpretable Question Answering.Jihao Shi, Xiao Ding, Li Du, Ting Liu, Bing Qin
2020IJCAIGuided Generation of Cause and Effect.Zhongyang Li, Xiao Ding, Ting Liu, J. Edward Hu, Benjamin Van Durme
2019EMNLPEvent Representation Learning Enhanced with External Commonsense Knowledge.Xiao Ding, Kuo Liao, Ting Liu, Zhongyang Li, Junwen Duan
2019EMNLPModeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder.Li Du, Xiao Ding, Ting Liu, Zhongyang Li
2019IJCAIStory Ending Prediction by Transferable BERT.Zhongyang Li, Xiao Ding, Ting Liu
2018COLINGLearning Target-Specific Representations of Financial News Documents For Cumulative Abnormal Return Prediction.Junwen Duan, Yue Zhang, Xiao Ding, Ching-Yun Chang, Ting Liu
2018COLINGGenerating Reasonable and Diversified Story Ending Using Sequence to Sequence Model with Adversarial Training.Zhongyang Li, Xiao Ding, Ting Liu
2018IJCAIDomain Adaptation via Tree Kernel Based Maximum Mean Discrepancy for User Consumption Intention Identification.Xiao Ding, Bibo Cai, Ting Liu, Qiankun Shi
2018IJCAIConstructing Narrative Event Evolutionary Graph for Script Event Prediction.Zhongyang Li, Xiao Ding, Ting Liu
2018NAACLLearning Sentence Representations over Tree Structures for Target-Dependent Classification.Junwen Duan, Xiao Ding, Ting Liu
2017ACLBenben: A Chinese Intelligent Conversational Robot.Weinan Zhang, Ting Liu, Bing Qin, Yu Zhang, Wanxiang Che, Yanyan Zhao, Xiao Ding
2016COLINGKnowledge-Driven Event Embedding for Stock Prediction.Xiao Ding, Yue Zhang, Ting Liu, Junwen Duan
2015AAAIMining User Consumption Intention from Social Media Using Domain Adaptive Convolutional Neural Network.Xiao Ding, Ting Liu, Junwen Duan, Jian-Yun Nie
2015IJCAIDeep Learning for Event-Driven Stock Prediction.Xiao Ding, Yue Zhang, Ting Liu, Junwen Duan
2014EMNLPUsing Structured Events to Predict Stock Price Movement: An Empirical Investigation.Xiao Ding, Yue Zhang, Ting Liu, Junwen Duan
2013EMNLPImproving Web Search Ranking by Incorporating Structured Annotation of Queries.Xiao Ding, Zhicheng Dou, Bing Qin, Ting Liu, Ji-Rong Wen
2013IJCNLPBuilding Chinese Event Type Paradigm Based on Trigger Clustering.Xiao Ding, Bing Qin, Ting Liu