Jing Xiong
19 papers · 2023–2026 · 7 conferences · across top CS/AI conferences
Achievements
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🌈 Renaissance Researcher (7) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (10) 🌍 Conference Polyglot (6) 🌉 Interdisciplinary Bridge
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Cross-Pollinator
(10)
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Interdisciplinary Bridge
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The Questioner
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Century Club
(17)
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Keyword Collector
(63)
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Prolific Year
(8)
Conferences
ACL (4)
EMNLP (4)
ICLR (4)
NIPS (3)
ICML (2)
AAAI (1)
COLING (1)
Top co-authors
Keywords
attention mechanism
(3)
large language model
(3)
instruction tuning
(2)
automated theorem proving
(2)
reward model
(2)
language model
(2)
multimodal large language model
(2)
transformer architecture
(2)
length extrapolation
(2)
reinforcement learning from human feedback
(2)
preference learning
(1)
emotion recognition
(1)
multi-modal learning
(1)
text-to-image generation
(1)
multimodal learning
(1)
mathematical reasoning
(1)
contrastive learning
(1)
prompt engineering
(1)
signal processing
(1)
in-context learning
(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
UNComp: Can Matrix Entropy Uncover Sparsity? — A Compressor Design from an Uncertainty-Aware Perspective
EMNLP 2025
DAPE V2: Process Attention Score as Feature Map for Length Extrapolation
ACL 2025
MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation
ACL 2025
Self-Adjust Softmax
EMNLP 2025
$\text{D}_{2}\text{O}$: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models
ICLR 2025
FormalAlign: Automated Alignment Evaluation for Autoformalization
ICLR 2025
ParallelComp: Parallel Long-Context Compressor for Length Extrapolation
ICML 2025
SkipGPT: Each Token is One of a Kind
ICML 2025
DAPE: Data-Adaptive Positional Encoding for Length Extrapolation
NIPS 2024
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning
ICLR 2024
AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations
EMNLP 2024
Multimodal Large Language Models Make Text-to-Image Generative Models Align Better
NIPS 2024
LEGO-Prover: Neural Theorem Proving with Growing Libraries
ICLR 2024
Boosting Text-to-Video Generative Model with MLLMs Feedback
NIPS 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