Jianshu Chen
43 papers · 2015–2024 · 13 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (13) 🏃 Academic Marathon (9) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird
🐣
Hot Topic Early Bird
🧭
Keyword Pioneer
🏃
Academic Marathon
(9)
🤝
Dynamic Duo
(23)
🏆
Grand Slam
👥
Mega-Team
(20)
🏆
Keyword Champion
🗃️
Keyword Collector
(177)
📈
Trend Setter
🚀
Conference Pioneer
⚡
Prolific Year
(6)
❓
The Questioner
💎
Century Club
(43)
🔥
Unstoppable
(10)
Conferences
ACL (10)
EMNLP (7)
NIPS (7)
ICLR (5)
ICML (3)
CONLL (2)
EACL (2)
NAACL (2)
AAAI (1)
AISTATS (1)
ECCV (1)
INTERSPEECH (1)
NSDI (1)
Top co-authors
Keywords
transfer learning
(5)
machine reading comprehension
(4)
question answering
(4)
knowledge retrieval
(3)
instruction tuning
(3)
large language model
(3)
neural network
(3)
zero-shot learning
(3)
stochastic variance reduction
(2)
representation learning
(2)
vision-language model
(2)
language model
(2)
pre-trained language model
(2)
latent dirichlet allocation
(2)
topic model
(2)
information retrieval
(2)
commonsense knowledge
(2)
multimodal learning
(2)
knowledge distillation
(2)
reinforcement learning
(2)
Papers
Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models
ACL 2024
Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment
ICML 2024
CEO: Corpus-based Open-Domain Event Ontology Induction
EACL 2024
From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning
NAACL 2024
Skills-in-Context: Unlocking Compositionality in Large Language Models
EMNLP 2024
MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning
NAACL 2024
Thrust: Adaptively Propels Large Language Models with External Knowledge
NIPS 2023
Blessing of Class Diversity in Pre-training
AISTATS 2023
Learning Language Representations with Logical Inductive Bias
ICLR 2023
Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models
ICLR 2023
How do Words Contribute to Sentence Semantics? Revisiting Sentence Embeddings with a Perturbation Method
EACL 2023
PIVOINE: Instruction Tuning for Open-world Entity Profiling
EMNLP 2023
Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks
ACL 2023
C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References
ACL 2022
Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination
EMNLP 2022
Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge
ACL 2022
Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension
ACL 2022
Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories
EMNLP 2021
Comprehensive Image Captioning via Scene Graph Decomposition
ECCV 2020
TabFact: A Large-scale Dataset for Table-based Fact Verification
ICLR 2020
ZPR2: Joint Zero Pronoun Recovery and Resolution using Multi-Task Learning and BERT
ACL 2020
Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension
ACL 2020
Logical Natural Language Generation from Open-Domain Tables
ACL 2020
Watch the Unobserved: A Simple Approach to Parallelizing Monte Carlo Tree Search
ICLR 2020
Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization
NIPS 2019
Incorporating Structured Commonsense Knowledge in Story Completion
AAAI 2019
Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention
ACL 2019
Improving Pre-Trained Multilingual Model with Vocabulary Expansion
CONLL 2019
Evidence Sentence Extraction for Machine Reading Comprehension
CONLL 2019
Improving Question Answering with External Knowledge
EMNLP 2019
Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching
ICLR 2019
XL-NBT: A Cross-lingual Neural Belief Tracking Framework
EMNLP 2018
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search
NIPS 2018
SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation
ICML 2018
Coupled Variational Bayes via Optimization Embedding
NIPS 2018
Unsupervised Sequence Classification using Sequential Output Statistics
NIPS 2017
Stochastic Variance Reduction Methods for Policy Evaluation
ICML 2017
Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes
NIPS 2017
CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics
NSDI 2017
The 2015 NIST Language Recognition Evaluation: The Shared View of I2R, Fantastic4 and SingaMS
INTERSPEECH 2016
Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads
EMNLP 2016
Deep Reinforcement Learning with a Natural Language Action Space
ACL 2016
End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture
NIPS 2015