Jiecao Chen
12 papers · 2016–2026 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(11)
Optimization & Theory
(7)
Core Methods
(5)
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(5)
Artificial Intelligence
(4)
Natural Language Processing
(3)
Applications Β· Natural Language Processing
(3)
Core AI
(3)
Data Science & Analytics
(2)
Deep Learning
(2)
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(2)
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Computer Science
(1)
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Keywords
large language model
(3)
k-means clustering
(2)
distributed clustering
(2)
sample complexity
(2)
benchmark evaluation
(2)
tool use
(2)
language model
(2)
online learning
(1)
knowledge distillation
(1)
stochastic optimization
(1)
policy gradient
(1)
outlier detection
(1)
communication complexity
(1)
distributed learning
(1)
continual learning
(1)
gradient estimation
(1)
graph clustering
(1)
efficient inference
(1)
sequence tagging
(1)
structured prediction
(1)
Papers
Beyond the Context Window: Scaling Agentic RL via End-to-end Optimized Context Compression
ACL 2026
Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems?
IJCNLP 2025
ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use
ACL 2025
Transforming Sequence Tagging Into A Seq2Seq Task
EMNLP 2022
DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling
EMNLP 2020
Sampled Softmax with Random Fourier Features
NeurIPS 2019
Stochastic Negative Mining for Learning with Large Output Spaces
AISTATS 2019
A Practical Algorithm for Distributed Clustering and Outlier Detection
NeurIPS 2018
Tight Bounds for Collaborative PAC Learning via Multiplicative Weights
NeurIPS 2018
Adapting Kernel Representations Online Using Submodular Maximization
ICML 2017
Adaptive Multiple-Arm Identification
ICML 2017
Communication-Optimal Distributed Clustering
NeurIPS 2016