Kai Xiong
20 papers · 2016–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (13) π Renaissance Researcher (7) π Interdisciplinary Bridge π Conference Polyglot (6)
π
Academic Marathon
(9)
π§
Keyword Pioneer
π
Renaissance Researcher
(7)
π€
Dynamic Duo
(11)
ποΈ
Keyword Collector
(90)
β
The Questioner
β‘
Prolific Year
(5)
π
Century Club
(17)
π₯
Unstoppable
(5)
π
Trend Setter
Conferences
ACL (12)
IJCAI (3)
EMNLP (2)
ECCV (1)
IJCNLP (1)
NIPS (1)
Top co-authors
Keywords
large language model
(9)
causal reasoning
(3)
explainable ai
(3)
event graph
(3)
reinforcement learning
(3)
knowledge graph
(2)
data selection
(2)
natural language inference
(2)
commonsense reasoning
(2)
supervised fine-tuning
(2)
causal inference
(2)
retrieval-augmented generation
(2)
explainable reasoning
(2)
graph clustering
(1)
natural language processing
(1)
semi-supervised learning
(1)
domain adaptation
(1)
benchmark evaluation
(1)
dimensionality reduction
(1)
spectral clustering
(1)
Papers
Consolidation or Adaptation? PRISM: Disentangling SFT and RL Data via Gradient Concentration
ACL 2026
Is EEG-to-Text Feasible in Real-World Scenarios? An In-Depth Analysis Using a Neuropsychology-Inspired Benchmark
ACL 2026
MAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward Optimization
ACL 2026
Com2 : A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models
ACL 2025
Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection
ACL 2025
Analyzing the Rapid Generalization of SFT via the Perspective of Attention Head Activation Patterns
ACL 2025
Natural Logic at the Core: Dynamic Rewards for Entailment Tree Generation
ACL 2025
Efficient and Accurate Prompt Optimization: the Benefit of Memory in Exemplar-Guided Reflection
ACL 2025
PACE: Pose Annotations in Cluttered Environments
ECCV 2024
Intuitive or Dependent? Investigating LLMsβ Behavior Style to Conflicting Prompts
ACL 2024
Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning
ACL 2024
Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance
NIPS 2024
Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate
EMNLP 2023
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks
EMNLP 2022
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning
ACL 2022
ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning
ACL 2021
ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning
IJCNLP 2021
Linear Manifold Regularization with Adaptive Graph for Semi-supervised Dimensionality Reduction
IJCAI 2017
Orthogonal and Nonnegative Graph Reconstruction for Large Scale Clustering
IJCAI 2017
Robust and Sparse Fuzzy K-Means Clustering
IJCAI 2016