Xiang Kong
21 papers · 2019–2025 · 8 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
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πΊοΈ Taxonomy Completionist (48) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Mega-Team Β· Squad
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Topic Evolution
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Keyword Pioneer
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Trend Setter
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Prolific Year Β· Productive
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Conference Pioneer
ποΈ
Keyword Collector
(102)
Top co-authors
Research topics
Machine Learning
(13)
Natural Language Processing
(12)
Deep Learning
(11)
Artificial Intelligence
(10)
Core AI
(10)
Learning Types Β· Machine Learning
(8)
Applications
(7)
Learning Types Β· Deep Learning
(6)
Architectures
(4)
Core Methods
(3)
Models
(3)
Optimization & Theory
(3)
Application Areas
(2)
Generation
(2)
Resources & Methods
(2)
Keywords
large language model
(5)
machine translation
(3)
transformer architecture
(2)
neural machine translation
(2)
direct preference optimization
(2)
sequence modeling
(2)
generative flow
(2)
image generation
(2)
reinforcement learning
(1)
structured prediction
(1)
contrastive learning
(1)
sequence labeling
(1)
density estimation
(1)
preference learning
(1)
natural language inference
(1)
variational inference
(1)
preference alignment
(1)
few-shot learning
(1)
attention mechanism
(1)
benchmark evaluation
(1)
Papers
MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains
NAACL 2025
Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization
NAACL 2025
Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo
ICLR 2025
TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights
ICLR 2025
Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation
ACL 2024
"MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training"
ECCV 2024
Mega: Moving Average Equipped Gated Attention
ICLR 2023
BLT: Bidirectional Layout Transformer for Controllable Layout Generation
ECCV 2022
Decoupling Global and Local Representations via Invertible Generative Flows
ICLR 2021
Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade
ACL 2021
Luna: Linear Unified Nested Attention
NeurIPS 2021
Multilingual Neural Machine Translation with Deep Encoder and Multiple Shallow Decoders
EACL 2021
An Empirical Exploration of Local Ordering Pre-training for Structured Prediction
EMNLP 2020
A Two-Step Approach for Implicit Event Argument Detection
ACL 2020
Deep Transformers with Latent Depth
NeurIPS 2020
Incorporating a Local Translation Mechanism into Non-autoregressive Translation
EMNLP 2020
SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations
ACL 2020
Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation
AAAI 2019
Generalized Data Augmentation for Low-Resource Translation
ACL 2019
MaCow: Masked Convolutional Generative Flow
NeurIPS 2019
Neural Machine Translation with Adequacy-Oriented Learning
AAAI 2019