Victor Zhong
24 papers · 2016–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (5) π§ Keyword Pioneer π Academic Marathon (9) π Conference Polyglot (6) π Renaissance Researcher (7)
π
Academic Marathon
(9)
π
Interdisciplinary Bridge
π
Renaissance Researcher
(7)
π₯
Mega-Team
(23)
π§¬
Topic Evolution
π₯
Unstoppable
(10)
π
Conference Pioneer
π
Century Club
(24)
ποΈ
Keyword Collector
(97)
β
The Questioner
Conferences
ACL (6)
NIPS (6)
EMNLP (5)
ICLR (5)
ICML (1)
IJCNLP (1)
Top co-authors
Keywords
question answering
(5)
large language model
(4)
knowledge graph
(3)
representation learning
(2)
multimodal agent
(2)
imitation learning
(2)
slot filling
(2)
language grounding
(2)
reinforcement learning
(2)
semantic parsing
(2)
benchmark evaluation
(2)
text editing
(1)
symbolic reasoning
(1)
relation extraction
(1)
text classification
(1)
adversarial robustness
(1)
natural language processing
(1)
sentiment analysis
(1)
named entity recognition
(1)
domain adaptation
(1)
Papers
Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows
ICLR 2025
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?
NIPS 2024
Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
ICLR 2024
Policy Improvement using Language Feedback Models
NIPS 2024
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
NIPS 2024
When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories
ACL 2023
RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering
EMNLP 2023
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models
EMNLP 2022
Improving Policy Learning via Language Dynamics Distillation
NIPS 2022
M2D2: A Massively Multi-Domain Language Modeling Dataset
EMNLP 2022
Improving Intrinsic Exploration with Language Abstractions
NIPS 2022
SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark
NIPS 2021
LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer
ACL 2021
LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer
IJCNLP 2021
Grounded Adaptation for Zero-shot Executable Semantic Parsing
EMNLP 2020
RTFM: Generalising to New Environment Dynamics via Reading
ICLR 2020
E3: Entailment-driven Extracting and Editing for Conversational Machine Reading
ACL 2019
Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering
ICLR 2019
Multi-hop Reading Comprehension through Question Decomposition and Rescoring
ACL 2019
Efficient and Robust Question Answering from Minimal Context over Documents
ACL 2018
Global-Locally Self-Attentive Encoder for Dialogue State Tracking
ACL 2018
DCN+: Mixed Objective And Deep Residual Coattention for Question Answering
ICLR 2018
Position-aware Attention and Supervised Data Improve Slot Filling
EMNLP 2017
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
ICML 2016