Xiangkun Hu

18 papers · 2018–2025 · 7 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (7) 🏃 Academic Marathon (7) 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (6) 🗺️ Taxonomy Completionist (35) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🤝 Dynamic Duo (14) ❓ The Questioner ⚡ Prolific Year (5) 🗃️ Keyword Collector (83) 💎 Century Club (18)

Conferences

EMNLP (6) ACL (5) NIPS (3) AISTATS (1) COLING (1) ICLR (1) ICML (1)

Top co-authors

Zheng Zhang (14) Yue Zhang (13) Qipeng Guo (13) Xipeng Qiu (6) Cunxiang Wang (4) Pengfei Liu (3) Tengxiao Liu (3) Tong He (3) Qingkai Min (2) Lin Qiu (2)

Keywords

large language model (6) language model (3) graph neural network (3) coreference resolution (2) neural network (2) information retrieval (2) sequence-to-sequence model (2) abstract meaning representation (2) reinforcement learning (2) chain of thought (2) document-level extraction (1) document summarization (1) event understanding (1) task-oriented dialogue (1) argument mining (1) prompt engineering (1) web search (1) question answering (1) natural language inference (1) event argument extraction (1)

Papers

NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens ICLR 2025

Multi-Document Event Extraction Using Large and Small Language Models EMNLP 2025

DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments EMNLP 2025

PerSphere: A Comprehensive Framework for Multi-Faceted Perspective Retrieval and Summarization ACL 2025

Common Learning Constraints Alter Interpretations of Direct Preference Optimization AISTATS 2025

Explicit Preference Optimization: No Need for an Implicit Reward Model ICML 2025

Can Language Models Learn to Skip Steps? NIPS 2024

Knowledge-Centric Hallucination Detection EMNLP 2024

Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models ACL 2024

RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation NIPS 2024

Evaluating Open-QA Evaluation NIPS 2023

An AMR-based Link Prediction Approach for Document-level Event Argument Extraction ACL 2023

Dual Cache for Long Document Neural Coreference Resolution ACL 2023

Exploiting Abstract Meaning Representation for Open-Domain Question Answering ACL 2023

Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts EMNLP 2023

Dialogue Meaning Representation for Task-Oriented Dialogue Systems EMNLP 2022

RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees EMNLP 2022

Incorporating Argument-Level Interactions for Persuasion Comments Evaluation using Co-attention Model COLING 2018