← Authors

Jianshu Chen

43 papers · 2015–2024 · 13 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (76) 🌍 Conference Polyglot (13) 🌈 Renaissance Researcher (7) 🐝 Cross-Pollinator (11) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸƒ Academic Marathon (9) 🀝 Dynamic Duo (23) πŸ† Grand Slam πŸ‘₯ Mega-Team (20) πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (177) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ⚑ Prolific Year (6) ❓ The Questioner πŸ’Ž Century Club (43) πŸ”₯ 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

Dong Yu (23) Xiaoman Pan (12) Dian Yu (12) Wenlin Yao (10) Hongming Zhang (7) Li Deng (6) Lin Xiao (5) Lihong Li (5) Kaiqiang Song (5) Ji He (4)

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