Tianxiang Sun
25 papers · 2020–2026 · 8 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (55) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
🤝
Dynamic Duo
(24)
🧬
Topic Evolution
⚡
Prolific Year · Productive
🔥
Unstoppable · Bronze
❓
The Questioner
(2)
💎
Century Club · Bronze
🗃️
Keyword Collector
(125)
Top co-authors
Research topics
Machine Learning
(15)
Natural Language Processing
(15)
Artificial Intelligence
(14)
Deep Learning
(14)
Core AI
(11)
Resources & Methods
(9)
Applications
(8)
Learning Types · Deep Learning
(8)
Application Areas
(7)
Optimization & Theory
(7)
Core Methods
(5)
Learning Paradigms
(5)
Generation
(4)
Learning Types · Machine Learning
(4)
Models
(4)
Keywords
large language model
(10)
few-shot learning
(5)
prompt tuning
(4)
pre-trained language model
(3)
text generation
(3)
sequence labeling
(2)
early exiting
(2)
information retrieval
(2)
model compression
(2)
pre-trained model
(2)
parameter-efficient tuning
(2)
semantic textual similarity
(2)
computational efficiency
(2)
efficient computing
(2)
contrastive learning
(2)
language understanding
(2)
early exit
(2)
speech recognition
(1)
relation extraction
(1)
in-context learning
(1)
Papers
MuKV: Multi-Grained KV Cache Compression for Long Streaming Video Question-Answering
CVPR 2026
Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance
ICLR 2025
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models
COLING 2024
AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling
ACL 2024
Can AI Assistants Know What They Don’t Know?
ICML 2024
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning
AAAI 2024
Flames: Benchmarking Value Alignment of LLMs in Chinese
NAACL 2024
LLatrieval: LLM-Verified Retrieval for Verifiable Generation
NAACL 2024
LLM can Achieve Self-Regulation via Hyperparameter Aware Generation
ACL 2024
Turn Waste into Worth: Rectifying Top-k Router of MoE
EMNLP 2024
Unified Active Retrieval for Retrieval Augmented Generation
EMNLP 2024
CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors
ACL 2023
DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models
ACL 2023
Improving Contrastive Learning of Sentence Embeddings from AI Feedback
ACL 2023
Multitask Pre-training of Modular Prompt for Chinese Few-Shot Learning
ACL 2023
A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation
ACL 2022
BBTv2: Towards a Gradient-Free Future with Large Language Models
EMNLP 2022
BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation
EMNLP 2022
Black-Box Tuning for Language-Model-as-a-Service
ICML 2022
Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts
EMNLP 2022
Towards Efficient NLP: A Standard Evaluation and A Strong Baseline
NAACL 2022
Accelerating BERT Inference for Sequence Labeling via Early-Exit
ACL 2021
Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa
NAACL 2021
CoLAKE: Contextualized Language and Knowledge Embedding
COLING 2020
Learning Sparse Sharing Architectures for Multiple Tasks
AAAI 2020