Yichong Xu
40 papers · 2015–2024 · 12 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+13 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (84) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π±
Topic Pioneer
π
Grand Slam
π¬
Deep Specialist
(12)
π₯
Mega-Team Β· Squad
π§¬
Topic Evolution
π€
Dynamic Duo
(29)
ποΈ
Keyword Collector
(184)
π₯
Unstoppable Β· Bronze
π
Trend Setter
β
The Questioner
β‘
Prolific Year Β· Prolific
π
Century Club Β· Bronze
π
Renaissance Researcher
(7)
Venues
Top co-authors
Research topics
Machine Learning
(26)
Deep Learning
(23)
Natural Language Processing
(23)
Learning Types Β· Machine Learning
(22)
Artificial Intelligence
(21)
Core AI
(18)
Resources & Methods
(15)
Learning Types Β· Deep Learning
(14)
Applications
(10)
Generation
(9)
Architectures
(7)
Application Areas
(5)
Learning Paradigms
(5)
Techniques
(4)
Computer Vision
(3)
Keywords
question answering
(6)
zero-shot learning
(5)
large language model
(5)
pre-trained language model
(5)
commonsense reasoning
(5)
multimodal learning
(4)
transfer learning
(4)
knowledge retrieval
(4)
self-supervised learning
(4)
semi-supervised learning
(3)
text summarization
(3)
open-domain question answering
(3)
visual question answering
(3)
language model
(3)
dueling bandit
(3)
in-context learning
(3)
natural language understanding
(2)
nonparametric regression
(2)
curse of dimensionality
(2)
weakly supervised learning
(2)
Papers
i-Code Studio: A Configurable and Composable Framework for Integrative AI
EMNLP 2024
i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data
NAACL 2024
Small Models are Valuable Plug-ins for Large Language Models
ACL 2024
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning
ACL 2023
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models
EMNLP 2023
Generate rather than Retrieve: Large Language Models are Strong Context Generators
ICLR 2023
G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment
EMNLP 2023
i-Code: An Integrative and Composable Multimodal Learning Framework
AAAI 2023
Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles
CVPR 2023
In-Context Demonstration Selection with Cross Entropy Difference
EMNLP 2023
InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT
EMNLP 2023
LMGQS: A Large-scale Dataset for Query-focused Summarization
EMNLP 2023
MVP-Tuning: Multi-View Knowledge Retrieval with Prompt Tuning for Commonsense Reasoning
ACL 2023
Sparse Modular Activation for Efficient Sequence Modeling
NeurIPS 2023
An Empirical Study of Training End-to-End Vision-and-Language Transformers
CVPR 2022
Automatic Rule Induction for Efficient Semi-Supervised Learning
EMNLP 2022
DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization
AAAI 2022
Dict-BERT: Enhancing Language Model Pre-training with Dictionary
ACL 2022
Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering
EMNLP 2022
Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention
IJCAI 2022
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering
ACL 2022
Knowledge-Augmented Methods for Natural Language Processing
ACL 2022
Leveraging Knowledge in Multilingual Commonsense Reasoning
ACL 2022
REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering
NeurIPS 2022
Task Compass: Scaling Multi-task Pre-training with Task Prefix
EMNLP 2022
Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data
ACL 2022
Unsupervised Multi-Granularity Summarization
EMNLP 2022
Fusing Context Into Knowledge Graph for Commonsense Question Answering
ACL 2021
Retrieval Enhanced Model for Commonsense Generation
ACL 2021
Want To Reduce Labeling Cost? GPT-3 Can Help
EMNLP 2021
Preference-based Reinforcement Learning with Finite-Time Guarantees
NeurIPS 2020
Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information
JMLR 2020
Thresholding Bandit Problem with Both Duels and Pulls
AISTATS 2020
Zeroth Order Non-convex optimization with Dueling-Choice Bandits
UAI 2020
DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain
ACL 2019
Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension
NAACL 2019
On Strategyproof Conference Peer Review
IJCAI 2019
Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information
ICML 2018
Noise-Tolerant Interactive Learning Using Pairwise Comparisons
NeurIPS 2017
The Application of Two-Level Attention Models in Deep Convolutional Neural Network for Fine-Grained Image Classification
CVPR 2015