conftrace_

Xinya Du

41 papers · 2017–2026 · 10 conferences · across top CS/AI conferences

Achievements

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+16 more ↓ 🐝 Cross-Pollinator (9) 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (8) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7)
🌈 Renaissance Researcher (7) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (10) πŸ‘₯ Mega-Team (34) πŸ† Grand Slam 🀝 Dynamic Duo (13) πŸ”¬ Deep Specialist (15) 🧬 Topic Evolution πŸ† Keyword Champion (5) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (167) ⚑ Prolific Year (7) πŸ”₯ Unstoppable (9) πŸ’Ž Century Club (40) ❓ The Questioner

Conferences

EMNLP (13) ACL (11) NAACL (5) EACL (4) ICLR (2) NIPS (2) AAAI (1) AACL (1) ICML (1) IJCNLP (1)

Papers

Your Reasoning Model is Secretly a Reward Model - Optimization-Free Verification from Experience ACL 2026 Efficient Document-level Event Relation Extraction NAACL 2025 $\mathcalVista\mathcalDPO$: Video Hierarchical Spatial-Temporal Direct Preference Optimization for Large Video Models ICML 2025 FIHA: Automated Fine-grained Hallucinations Evaluations in Large Vision Language Models with Davidson Scene Graphs ACL 2025 LMR-BENCH: Evaluating LLM Agent’s Ability on Reproducing Language Modeling Research EMNLP 2025 DSBench: How Far Are Data Science Agents from Becoming Data Science Experts? ICLR 2025 FG-PRM: Fine-grained Hallucination Detection and Mitigation in Language Model Mathematical Reasoning EMNLP 2025 SciEvent: Benchmarking Multi-domain Scientific Event Extraction EMNLP 2025 Search Wisely: Mitigating Sub-optimal Agentic Searches By Reducing Uncertainty EMNLP 2025 Language Models as Inductive Reasoners EACL 2024 Document-level Causal Relation Extraction with Knowledge-guided Binary Question Answering EMNLP 2024 FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models EMNLP 2024 MEQA: A Benchmark for Multi-hop Event-centric Question Answering with Explanations NIPS 2024 Making Natural Language Reasoning Explainable and Faithful AAAI 2024 Large Language Models for Automated Open-domain Scientific Hypotheses Discovery ACL 2024 IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering NIPS 2024 QAEVENT: Event Extraction as Question-Answer Pairs Generation EACL 2024 End-to-end Case-Based Reasoning for Commonsense Knowledge Base Completion EACL 2023 Zero-Shot Classification by Logical Reasoning on Natural Language Explanations ACL 2023 Toward Consistent and Informative Event-Event Temporal Relation Extraction ACL 2023 POE: Process of Elimination for Multiple Choice Reasoning EMNLP 2023 Leveraging Structured Information for Explainable Multi-hop Question Answering and Reasoning EMNLP 2023 Probing Representations for Document-level Event Extraction EMNLP 2023 Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning ICLR 2023 Retrieval-Augmented Generative Question Answering for Event Argument Extraction EMNLP 2022 Dynamic Global Memory for Document-level Argument Extraction ACL 2022 Automatic Error Analysis for Document-level Information Extraction ACL 2022 RESIN-11: Schema-guided Event Prediction for 11 Newsworthy Scenarios NAACL 2022 QA-Driven Zero-shot Slot Filling with Weak Supervision Pretraining ACL 2021 Template Filling with Generative Transformers NAACL 2021 QA-Driven Zero-shot Slot Filling with Weak Supervision Pretraining IJCNLP 2021 Few-shot Intent Classification and Slot Filling with Retrieved Examples NAACL 2021 GRIT: Generative Role-filler Transformers for Document-level Event Entity Extraction EACL 2021 Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding ACL 2020 Event Extraction by Answering (Almost) Natural Questions EMNLP 2020 Leveraging Structured Metadata for Improving Question Answering on the Web AACL 2020 Improving Event Duration Prediction via Time-aware Pre-training EMNLP 2020 Be Consistent! Improving Procedural Text Comprehension using Label Consistency NAACL 2019 Harvesting Paragraph-level Question-Answer Pairs from Wikipedia ACL 2018 Identifying Where to Focus in Reading Comprehension for Neural Question Generation EMNLP 2017 Learning to Ask: Neural Question Generation for Reading Comprehension ACL 2017