Xianfeng Tang
31 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π Academic Marathon (6) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (14)
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Cross-Pollinator
(14)
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Renaissance Researcher
(9)
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Taxonomy Completionist
(62)
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Grand Slam
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Topic Evolution
π₯
Mega-Team
(22)
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Triple Crown
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Dynamic Duo
(13)
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(5)
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Prolific Year
(7)
ποΈ
Keyword Collector
(129)
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Conference Pioneer
π
Century Club
(29)
β
The Questioner
Conferences
EMNLP (8)
ACL (6)
ICLR (4)
AAAI (3)
NAACL (3)
NIPS (3)
ICML (2)
AISTATS (1)
IJCAI (1)
Top co-authors
Research topics
Keywords
large language model
(10)
domain adaptation
(3)
question answering
(3)
retrieval-augmented generation
(3)
language model
(3)
few-shot learning
(3)
graph neural network
(2)
benchmark evaluation
(2)
chain-of-thought reasoning
(2)
vision-language model
(2)
model compression
(2)
multimodal learning
(2)
machine unlearning
(2)
knowledge transfer
(1)
attention mechanism
(1)
reward modeling
(1)
self-supervised learning
(1)
logical reasoning
(1)
multi-task learning
(1)
zero-shot learning
(1)
Papers
Harnessing the Unseen: The Hidden Influence of Intrinsic Knowledge in Long-Context Language Models
AAAI 2026
Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents
ACL 2026
SUA: Stealthy Multimodal Large Language Model Unlearning Attack
EMNLP 2025
Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models
ACL 2025
Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning
ACL 2025
A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration
AISTATS 2025
ViLBench: A Suite for Vision-Language Process Reward Modeling
EMNLP 2025
Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation
EMNLP 2025
Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs
EMNLP 2025
DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning
EMNLP 2025
Catastrophic Failure of LLM Unlearning via Quantization
ICLR 2025
Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning
ICLR 2025
Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing
ICML 2025
IHEval: Evaluating Language Models on Following the Instruction Hierarchy
NAACL 2025
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains
NAACL 2025
Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data
NAACL 2025
Divide-Verify-Refine: Can LLMs Self-align with Complex Instructions?
ACL 2025
A General Framework to Enhance Fine-tuning-based LLM Unlearning
ACL 2025
BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering
EMNLP 2024
Sequential LLM Framework for Fashion Recommendation
EMNLP 2024
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs
ACL 2024
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond
ICLR 2024
Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark
EMNLP 2024
Language Models as Semantic Indexers
ICML 2024
Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models
NIPS 2024
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
NIPS 2023
HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers
ICLR 2023
Task-Agnostic Graph Explanations
NIPS 2022
Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values
AAAI 2020
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding
IJCAI 2019
Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction
AAAI 2019