Victor Zhong
23 papers · 2016–2025 · 5 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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🗺️ Taxonomy Completionist (53) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Topic Evolution
👥
Mega-Team · Squad
🚀
Conference Pioneer
🔥
Unstoppable · Silver
❓
The Questioner
💎
Century Club · Bronze
🌈
Renaissance Researcher
(5)
🗃️
Keyword Collector
(112)
Venues
Top co-authors
Research topics
Artificial Intelligence
(15)
Natural Language Processing
(15)
Core AI
(14)
Applications
(12)
Machine Learning
(11)
Deep Learning
(9)
Learning Types · Machine Learning
(8)
Learning Types · Deep Learning
(5)
Application Areas
(4)
Knowledge & Reasoning
(3)
Reinforcement Learning
(3)
Learning Paradigms
(3)
Methods
(3)
Models
(3)
Core Methods
(2)
Keywords
question answering
(7)
large language model
(5)
reinforcement learning
(4)
knowledge graph
(3)
semantic parsing
(3)
imitation learning
(2)
representation learning
(2)
benchmark evaluation
(2)
multimodal agent
(2)
slot filling
(2)
code generation
(2)
reward shaping
(2)
database schema
(2)
language grounding
(2)
symbolic reasoning
(1)
curriculum learning
(1)
text classification
(1)
natural language processing
(1)
adversarial robustness
(1)
sentiment analysis
(1)
Papers
Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows
ICLR 2025
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
NeurIPS 2024
Policy Improvement using Language Feedback Models
NeurIPS 2024
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?
NeurIPS 2024
Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
ICLR 2024
RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering
EMNLP 2023
When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories
ACL 2023
Improving Intrinsic Exploration with Language Abstractions
NeurIPS 2022
Improving Policy Learning via Language Dynamics Distillation
NeurIPS 2022
M2D2: A Massively Multi-Domain Language Modeling Dataset
EMNLP 2022
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models
EMNLP 2022
LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer
ACL 2021
SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark
NeurIPS 2021
Grounded Adaptation for Zero-shot Executable Semantic Parsing
EMNLP 2020
RTFM: Generalising to New Environment Dynamics via Reading
ICLR 2020
Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering
ICLR 2019
E3: Entailment-driven Extracting and Editing for Conversational Machine Reading
ACL 2019
Multi-hop Reading Comprehension through Question Decomposition and Rescoring
ACL 2019
DCN+: Mixed Objective And Deep Residual Coattention for Question Answering
ICLR 2018
Efficient and Robust Question Answering from Minimal Context over Documents
ACL 2018
Global-Locally Self-Attentive Encoder for Dialogue State Tracking
ACL 2018
Position-aware Attention and Supervised Data Improve Slot Filling
EMNLP 2017
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
ICML 2016