Xiao Ding

53 papers · 2013–2025 · 9 conferences · across top CS/AI conferences

Achievements

🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (6) 🌍 Conference Polyglot (9) 🏃 Academic Marathon (12) 🐝 Cross-Pollinator (13) 🗺️ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🔬 Deep Specialist (12) 🧬 Topic Evolution 🏆 Keyword Champion (2) 🤝 Dynamic Duo (49) 🗃️ Keyword Collector (227) ❓ The Questioner ⚡ Prolific Year (9) 💎 Century Club (53) 🔥 Unstoppable (13)

Conferences

ACL (17) EMNLP (12) COLING (7) IJCAI (5) IJCNLP (5) AAAI (3) NAACL (2) NIPS (1) SEMEVAL (1)

Top co-authors

Ting Liu (49) Bing Qin (34) Li Du (20) Zhongyang Li (11) Kai Xiong (11) Junwen Duan (7) Bibo Cai (6) Zhouhao Sun (6) Jinglong Gao (6) Yue Zhang (5)

Research topics

Applications (1) Cognitive Science (1)

Keywords

large language model (12) causal reasoning (6) knowledge graph (5) event graph (5) reinforcement learning (5) natural language inference (5) commonsense reasoning (4) representation learning (4) transfer learning (4) script event prediction (4) variational autoencoder (4) explainable ai (4) language model (4) natural language processing (4) commonsense knowledge (4) sentiment analysis (3) pre-trained language model (3) causal inference (3) question answering (3) text classification (3)

Papers

Com2 : A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models ACL 2025

ExpeTrans: LLMs Are Experiential Transfer Learners ACL 2025

Tool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch EMNLP 2025

Exploring Large Language Models for Effective Rumor Detection on Social Media NAACL 2025

iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use EMNLP 2025

Towards Transferable Personality Representation Learning based on Triplet Comparisons and Its Applications EMNLP 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

Analyzing the Rapid Generalization of SFT via the Perspective of Attention Head Activation Patterns ACL 2025

Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance NIPS 2024

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

Towards Stable Natural Language Understanding via Information Entropy Guided Debiasing ACL 2023

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

Self-Supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning AAAI 2023

NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing ACL 2023

Mitigating Reporting Bias in Semi-supervised Temporal Commonsense Inference with Probabilistic Soft Logic AAAI 2022

e-CARE: a New Dataset for Exploring Explainable Causal Reasoning ACL 2022

ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks EMNLP 2022

STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing EMNLP 2022

A Graph Enhanced BERT Model for Event Prediction ACL 2022

CogBERT: Cognition-Guided Pre-trained Language Models COLING 2022

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

Learning Event Graph Knowledge for Abductive Reasoning IJCNLP 2021

ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning ACL 2021

HIT-SCIR at SemEval-2020 Task 5: Training Pre-trained Language Model with Pseudo-labeling Data for Counterfactuals Detection SEMEVAL 2020

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 COLING 2020

Event Representation Learning Enhanced with External Commonsense Knowledge EMNLP 2019

Event Representation Learning Enhanced with External Commonsense Knowledge IJCNLP 2019

Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder IJCNLP 2019

Story Ending Prediction by Transferable BERT IJCAI 2019

Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder EMNLP 2019

Learning Target-Specific Representations of Financial News Documents For Cumulative Abnormal Return Prediction COLING 2018

Learning Sentence Representations over Tree Structures for Target-Dependent Classification NAACL 2018

Domain Adaptation via Tree Kernel Based Maximum Mean Discrepancy for User Consumption Intention Identification IJCAI 2018

Constructing Narrative Event Evolutionary Graph for Script Event Prediction IJCAI 2018

Generating Reasonable and Diversified Story Ending Using Sequence to Sequence Model with Adversarial Training COLING 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