Jiacheng Xu
26 papers · 2016–2025 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (62) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Topic Evolution
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Keyword Champion
(2)
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Keyword Pioneer
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Grand Slam
π€
Dynamic Duo
(11)
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Renaissance Researcher
(7)
π₯
Unstoppable Β· Silver
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Prolific Year Β· Productive
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Century Club Β· Bronze
ποΈ
Keyword Collector
(141)
Top co-authors
Research topics
Machine Learning
(16)
Natural Language Processing
(15)
Artificial Intelligence
(14)
Generation
(14)
Deep Learning
(13)
Core AI
(12)
Learning Types Β· Machine Learning
(10)
Core Methods
(7)
Learning Types Β· Deep Learning
(7)
Reinforcement Learning
(4)
Methods
(4)
Architectures
(3)
Optimization & Theory Β· Deep Learning
(3)
Optimization & Theory Β· Machine Learning
(3)
Computer Vision
(2)
Keywords
text summarization
(5)
abstractive summarization
(4)
extractive summarization
(3)
beam search
(3)
neural network
(3)
reinforcement learning
(3)
text generation
(3)
attention mechanism
(2)
self-supervised learning
(2)
domain adaptation
(2)
summarization model
(2)
best-first search
(2)
language model
(2)
multi-agent system
(2)
machine translation
(1)
benchmark evaluation
(1)
object detection
(1)
link prediction
(1)
continual learning
(1)
uncertainty quantification
(1)
Papers
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents
ICLR 2025
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
Continual Few-shot Relation Extraction via Adaptive Gradient Correction and Knowledge Decomposition
ACL 2024
Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning
AAAI 2024
Language Model Self-improvement by Reinforcement Learning Contemplation
ICLR 2024
ODRL: A Benchmark for Off-Dynamics Reinforcement Learning
NeurIPS 2024
Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding
EMNLP 2024
Best-k Search Algorithm for Neural Text Generation
ACL 2023
EEL: Efficiently Encoding Lattices for Reranking
ACL 2023
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors
ACL 2023
ASPECTNEWS: Aspect-Oriented Summarization of News Documents
ACL 2022
Massive-scale Decoding for Text Generation using Lattices
NAACL 2022
Multi-agent Dynamic Algorithm Configuration
NeurIPS 2022
Training Dynamics for Text Summarization Models
ACL 2022
Contemporary NLP Modeling in Six Comprehensive Programming Assignments
NAACL 2021
Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering
ACL 2021
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution
ACL 2021
Compressive Summarization with Plausibility and Salience Modeling
EMNLP 2020
Discourse-Aware Neural Extractive Text Summarization
ACL 2020
Understanding Neural Abstractive Summarization Models via Uncertainty
EMNLP 2020
Neural Extractive Text Summarization with Syntactic Compression
EMNLP 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