Kai Xiong
19 papers · 2016–2026 · 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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(6)
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(3)
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Century Club Β· Bronze
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Research topics
Artificial Intelligence
(14)
Core AI
(14)
Machine Learning
(12)
Natural Language Processing
(9)
Learning Types Β· Machine Learning
(8)
Resources & Methods
(7)
Knowledge & Reasoning
(5)
Core Methods
(5)
Reasoning
(5)
Deep Learning
(4)
Learning Types Β· Deep Learning
(3)
Optimization & Theory
(3)
Application Areas
(2)
Applications
(2)
Learning Paradigms
(2)
Keywords
large language model
(9)
reinforcement learning
(3)
data selection
(2)
explainable reasoning
(2)
supervised fine-tuning
(2)
natural language inference
(2)
retrieval-augmented generation
(2)
causal inference
(2)
event graph
(2)
explainable ai
(2)
commonsense reasoning
(2)
causal 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)
knowledge distillation
(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
Analyzing the Rapid Generalization of SFT via the Perspective of Attention Head Activation Patterns
ACL 2025
Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection
ACL 2025
Com2 : A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models
ACL 2025
Efficient and Accurate Prompt Optimization: the Benefit of Memory in Exemplar-Guided Reflection
ACL 2025
Natural Logic at the Core: Dynamic Rewards for Entailment Tree Generation
ACL 2025
Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning
ACL 2024
Intuitive or Dependent? Investigating LLMsβ Behavior Style to Conflicting Prompts
ACL 2024
Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance
NeurIPS 2024
PACE: Pose Annotations in Cluttered Environments
ECCV 2024
Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate
EMNLP 2023
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning
ACL 2022
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks
EMNLP 2022
ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning
ACL 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