Ginny Wong
12 papers · 2022–2026 · 5 conferences · across top CS/AI conferences
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Keywords
large language model
(2)
zero-shot learning
(1)
theory of mind
(1)
optimal transport
(1)
argument mining
(1)
knowledge distillation
(1)
in-context learning
(1)
text generation
(1)
inductive reasoning
(1)
multimodal learning
(1)
query embedding
(1)
instruction tuning
(1)
knowledge graph embedding
(1)
pre-trained language model
(1)
hierarchical classification
(1)
fast fourier transform
(1)
prompt tuning
(1)
abductive reasoning
(1)
generalization performance
(1)
sequence generation
(1)
Papers
XToM: Exploring the Multilingual Theory of Mind for Large Language Models
ACL 2026
LogiDynamics: Unraveling the Dynamics of Inductive, Abductive and Deductive Logical Inferences in LLM Reasoning
EMNLP 2025
AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation
ACL 2024
Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport
ACL 2023
TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument Mining
EMNLP 2023
Self-Consistent Narrative Prompts on Abductive Natural Language Inference
AACL 2023
COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective
ACL 2023
DiscoPrompt: Path Prediction Prompt Tuning for Implicit Discourse Relation Recognition
ACL 2023
Logical Message Passing Networks with One-hop Inference on Atomic Formulas
ICLR 2023
Self-Consistent Narrative Prompts on Abductive Natural Language Inference
IJCNLP 2023
Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform
EMNLP 2022
SubeventWriter: Iterative Sub-event Sequence Generation with Coherence Controller
EMNLP 2022