Jing Xiong
20 papers · 2023–2026 · 8 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.
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Research topics
Artificial Intelligence
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Machine Learning
(13)
Deep Learning
(8)
Natural Language Processing
(6)
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(6)
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(5)
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(5)
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Keywords
large language model
(4)
attention mechanism
(3)
reward model
(2)
formal proof
(2)
length extrapolation
(2)
instruction tuning
(2)
multimodal large language model
(2)
transformer architecture
(2)
kv cache
(2)
reinforcement learning from human feedback
(2)
automated theorem proving
(2)
in-context learning
(2)
language model
(2)
multimodal learning
(2)
prompt engineering
(1)
zero-shot learning
(1)
knowledge distillation
(1)
reinforcement learning
(1)
dimensionality reduction
(1)
semantic alignment
(1)
Papers
Emotion and Intention Guided Multi-Modal Learning for Sticker Response Selection
AAAI 2026
Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher Distillation
ACL 2026
Residual Decoding: Mitigating Hallucinations in Large Vision-Language Models via History-Aware Residual Guidance
CVPR 2026
D_2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models
ICLR 2025
DAPE V2: Process Attention Score as Feature Map for Length Extrapolation
ACL 2025
FormalAlign: Automated Alignment Evaluation for Autoformalization
ICLR 2025
MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation
ACL 2025
ParallelComp: Parallel Long-Context Compressor for Length Extrapolation
ICML 2025
Self-Adjust Softmax
EMNLP 2025
SkipGPT: Each Token is One of a Kind
ICML 2025
UNComp: Can Matrix Entropy Uncover Sparsity? β A Compressor Design from an Uncertainty-Aware Perspective
EMNLP 2025
AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations
EMNLP 2024
Boosting Text-to-Video Generative Model with MLLMs Feedback
NeurIPS 2024
DAPE: Data-Adaptive Positional Encoding for Length Extrapolation
NeurIPS 2024
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning
ICLR 2024
LEGO-Prover: Neural Theorem Proving with Growing Libraries
ICLR 2024
Multimodal Large Language Models Make Text-to-Image Generative Models Align Better
NeurIPS 2024
Towards Human-aligned Evaluation for Linear Programming Word Problems
COLING 2024
DT-Solver: Automated Theorem Proving with Dynamic-Tree Sampling Guided by Proof-level Value Function
ACL 2023
TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models
EMNLP 2023