← Authors

Yichong Xu

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

Achievements

🌍 Conference Polyglot (13) πŸƒ Academic Marathon (9) 🌈 Renaissance Researcher (9) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (8) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (96) 🀝 Dynamic Duo (31) πŸ† Grand Slam πŸ‘₯ Mega-Team (20) πŸ”¬ Deep Specialist (12) 🧬 Topic Evolution πŸ“ˆ Trend Setter ⚑ Prolific Year (11) ❓ The Questioner πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (184) πŸ’Ž Century Club (42)

Conferences

ACL (11) EMNLP (11) NIPS (4) CVPR (3) AAAI (2) IJCAI (2) IJCNLP (2) NAACL (2) AISTATS (1) ICLR (1) ICML (1) JMLR (1) UAI (1)

Top co-authors

Chenguang Zhu (31) Michael Zeng (21) Shuohang Wang (18) Yang Liu (16) Yuwei Fang (8) Ruochen Xu (8) Wenhao Yu (8) Ziyi Yang (6) Lu Yuan (6) Dan Iter (6)

Keywords

question answering (6) commonsense reasoning (5) zero-shot learning (5) knowledge retrieval (4) transfer learning (4) self-supervised learning (4) large language model (4) pre-trained language model (4) multimodal learning (4) text summarization (3) visual question answering (3) in-context learning (3) semi-supervised learning (3) language model (3) dueling bandit (3) natural language understanding (2) nonparametric regression (2) curse of dimensionality (2) natural language generation (2) few-shot learning (2)

Papers

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data NAACL 2024
i-Code Studio: A Configurable and Composable Framework for Integrative AI EMNLP 2024
Small Models are Valuable Plug-ins for Large Language Models ACL 2024
In-Context Demonstration Selection with Cross Entropy Difference EMNLP 2023
Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles CVPR 2023
G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment EMNLP 2023
LMGQS: A Large-scale Dataset for Query-focused Summarization EMNLP 2023
Sparse Modular Activation for Efficient Sequence Modeling NIPS 2023
InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT EMNLP 2023
i-Code: An Integrative and Composable Multimodal Learning Framework AAAI 2023
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning ACL 2023
Generate rather than Retrieve: Large Language Models are Strong Context Generators ICLR 2023
MVP-Tuning: Multi-View Knowledge Retrieval with Prompt Tuning for Commonsense Reasoning ACL 2023
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models EMNLP 2023
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering ACL 2022
REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering NIPS 2022
DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization AAAI 2022
Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data ACL 2022
Knowledge-Augmented Methods for Natural Language Processing ACL 2022
Dict-BERT: Enhancing Language Model Pre-training with Dictionary ACL 2022
Leveraging Knowledge in Multilingual Commonsense Reasoning ACL 2022
An Empirical Study of Training End-to-End Vision-and-Language Transformers CVPR 2022
Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering EMNLP 2022
Automatic Rule Induction for Efficient Semi-Supervised Learning EMNLP 2022
Unsupervised Multi-Granularity Summarization EMNLP 2022
Task Compass: Scaling Multi-task Pre-training with Task Prefix EMNLP 2022
Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention IJCAI 2022
Fusing Context Into Knowledge Graph for Commonsense Question Answering IJCNLP 2021
Retrieval Enhanced Model for Commonsense Generation IJCNLP 2021
Want To Reduce Labeling Cost? GPT-3 Can Help EMNLP 2021
Retrieval Enhanced Model for Commonsense Generation ACL 2021
Fusing Context Into Knowledge Graph for Commonsense Question Answering ACL 2021
Thresholding Bandit Problem with Both Duels and Pulls AISTATS 2020
Preference-based Reinforcement Learning with Finite-Time Guarantees NIPS 2020
Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information JMLR 2020
Zeroth Order Non-convex optimization with Dueling-Choice Bandits UAI 2020
On Strategyproof Conference Peer Review IJCAI 2019
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
Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information ICML 2018
Noise-Tolerant Interactive Learning Using Pairwise Comparisons NIPS 2017
The Application of Two-Level Attention Models in Deep Convolutional Neural Network for Fine-Grained Image Classification CVPR 2015