Jiacheng Xu
29 papers · 2016–2025 · 9 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (5) 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🏃 Academic Marathon (9) 🌈 Renaissance Researcher (8)
🌍
Conference Polyglot
(9)
🏃
Academic Marathon
(9)
🌉
Interdisciplinary Bridge
🤝
Dynamic Duo
(13)
🏆
Grand Slam
🧬
Topic Evolution
⚡
Prolific Year
(5)
💎
Century Club
(29)
🗃️
Keyword Collector
(128)
🔥
Unstoppable
(10)
Conferences
ACL (9)
EMNLP (6)
IJCNLP (3)
NAACL (3)
ICLR (2)
ICML (2)
NIPS (2)
AAAI (1)
IJCAI (1)
Top co-authors
Keywords
text summarization
(6)
neural network
(4)
extractive summarization
(4)
abstractive summarization
(4)
beam search
(3)
text generation
(3)
attention mechanism
(2)
generation mode
(2)
domain adaptation
(2)
attribution method
(2)
summarization model
(2)
syntactic compression
(2)
document summarization
(2)
model interpretation
(2)
best-first search
(2)
reinforcement learning
(2)
sentence extraction
(2)
machine translation
(1)
benchmark evaluation
(1)
self-supervised learning
(1)
Papers
From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining
ICML 2025
Joint Learning Event-Specific Probe and Argument Library with Differential Optimization for Document-Level Multi-Event Extraction
NAACL 2025
Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning
ICML 2025
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents
ICLR 2025
Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning
AAAI 2024
Continual Few-shot Relation Extraction via Adaptive Gradient Correction and Knowledge Decomposition
ACL 2024
Language Model Self-improvement by Reinforcement Learning Contemplation
ICLR 2024
Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding
EMNLP 2024
ODRL: A Benchmark for Off-Dynamics Reinforcement Learning
NIPS 2024
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors
ACL 2023
Best-k Search Algorithm for Neural Text Generation
ACL 2023
EEL: Efficiently Encoding Lattices for Reranking
ACL 2023
Multi-agent Dynamic Algorithm Configuration
NIPS 2022
ASPECTNEWS: Aspect-Oriented Summarization of News Documents
ACL 2022
Training Dynamics for Text Summarization Models
ACL 2022
Massive-scale Decoding for Text Generation using Lattices
NAACL 2022
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution
ACL 2021
Contemporary NLP Modeling in Six Comprehensive Programming Assignments
NAACL 2021
Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering
IJCNLP 2021
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution
IJCNLP 2021
Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering
ACL 2021
Understanding Neural Abstractive Summarization Models via Uncertainty
EMNLP 2020
Discourse-Aware Neural Extractive Text Summarization
ACL 2020
Compressive Summarization with Plausibility and Salience Modeling
EMNLP 2020
Neural Extractive Text Summarization with Syntactic Compression
EMNLP 2019
Neural Extractive Text Summarization with Syntactic Compression
IJCNLP 2019
Spherical Latent Spaces for Stable Variational Autoencoders
EMNLP 2018
Knowledge Graph Representation with Jointly Structural and Textual Encoding
IJCAI 2017
Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification
EMNLP 2016