Xiao Ding

TinyJudge: Unverifiable Constraint Alignment via Lightweight Specialist Ensembles ACL 2026 Is EEG-to-Text Feasible in Real-World Scenarios? An In-Depth Analysis Using a Neuropsychology-Inspired Benchmark ACL 2026 MAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward Optimization ACL 2026 Consolidation or Adaptation? PRISM: Disentangling SFT and RL Data via Gradient Concentration ACL 2026 Analyzing the Rapid Generalization of SFT via the Perspective of Attention Head Activation Patterns ACL 2025 Natural Logic at the Core: Dynamic Rewards for Entailment Tree Generation ACL 2025 Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection ACL 2025 Towards Transferable Personality Representation Learning based on Triplet Comparisons and Its Applications EMNLP 2025 Tool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch EMNLP 2025 iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use EMNLP 2025 Exploring Large Language Models for Effective Rumor Detection on Social Media NAACL 2025 ExpeTrans: LLMs Are Experiential Transfer Learners ACL 2025 Com2 : A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models ACL 2025 Link Prediction in Multilayer Networks via Cross-Network Embedding AAAI 2024 Learning Geometry-Aware Representations for New Intent Discovery ACL 2024 Self-Evolving GPT: A Lifelong Autonomous Experiential Learner ACL 2024 Causal-Guided Active Learning for Debiasing Large Language Models ACL 2024 Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning ACL 2024 On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey ACL 2024 RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict COLING 2024 Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation COLING 2024 Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance NIPS 2024 Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate EMNLP 2023 Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation EMNLP 2023 NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing ACL 2023 Towards Stable Natural Language Understanding via Information Entropy Guided Debiasing ACL 2023 Self-Supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning AAAI 2023 e-CARE: a New Dataset for Exploring Explainable Causal Reasoning ACL 2022 A Graph Enhanced BERT Model for Event Prediction ACL 2022 Mitigating Reporting Bias in Semi-supervised Temporal Commonsense Inference with Probabilistic Soft Logic AAAI 2022 CogBERT: Cognition-Guided Pre-trained Language Models COLING 2022 STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing EMNLP 2022 ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks EMNLP 2022 Learning Event Graph Knowledge for Abductive Reasoning IJCNLP 2021 ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning ACL 2021 Learning Event Graph Knowledge for Abductive Reasoning ACL 2021 Neural Natural Logic Inference for Interpretable Question Answering EMNLP 2021 ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning IJCNLP 2021 Guided Generation of Cause and Effect IJCAI 2020 HIT-SCIR at SemEval-2020 Task 5: Training Pre-trained Language Model with Pseudo-labeling Data for Counterfactuals Detection SEMEVAL 2020 HIT-SCIR at SemEval-2020 Task 5: Training Pre-trained Language Model with Pseudo-labeling Data for Counterfactuals Detection COLING 2020 Event Representation Learning Enhanced with External Commonsense Knowledge EMNLP 2019 Story Ending Prediction by Transferable BERT IJCAI 2019 Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder IJCNLP 2019 Event Representation Learning Enhanced with External Commonsense Knowledge IJCNLP 2019 Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder EMNLP 2019 Domain Adaptation via Tree Kernel Based Maximum Mean Discrepancy for User Consumption Intention Identification IJCAI 2018 Generating Reasonable and Diversified Story Ending Using Sequence to Sequence Model with Adversarial Training COLING 2018 Learning Target-Specific Representations of Financial News Documents For Cumulative Abnormal Return Prediction COLING 2018 Constructing Narrative Event Evolutionary Graph for Script Event Prediction IJCAI 2018 Learning Sentence Representations over Tree Structures for Target-Dependent Classification NAACL 2018 Benben: A Chinese Intelligent Conversational Robot ACL 2017 Knowledge-Driven Event Embedding for Stock Prediction COLING 2016 Deep Learning for Event-Driven Stock Prediction IJCAI 2015 Using Structured Events to Predict Stock Price Movement: An Empirical Investigation EMNLP 2014 Improving Web Search Ranking by Incorporating Structured Annotation of Queries EMNLP 2013 Building Chinese Event Type Paradigm Based on Trigger Clustering IJCNLP 2013