Fuli Feng
69 papers · 2017–2026 · 9 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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(23)
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Keyword Champion
(2)
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Renaissance Researcher
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Research topics
Machine Learning
(47)
Artificial Intelligence
(42)
Core AI
(40)
Natural Language Processing
(27)
Learning Types Β· Machine Learning
(24)
Deep Learning
(21)
Application Areas
(19)
Core Methods
(16)
Resources & Methods
(15)
Learning Types Β· Deep Learning
(13)
Optimization & Theory
(13)
Applications Β· Natural Language Processing
(11)
Data Science & Analytics
(8)
Applications Β· Data Science & Analytics
(8)
Models
(6)
Keywords
large language model
(27)
language model
(5)
recommender system
(5)
recommendation system
(5)
multimodal learning
(4)
knowledge distillation
(4)
representation learning
(3)
causal inference
(3)
direct preference optimization
(3)
prompt tuning
(3)
domain generalization
(3)
question answering
(3)
few-shot learning
(3)
text classification
(3)
sparse autoencoder
(3)
prompt engineering
(2)
contrastive learning
(2)
text generation
(2)
social media analysis
(2)
benchmark evaluation
(2)
Papers
Controllable LLM Reasoning via Sparse Autoencoder-Based Steering
ACL 2026
Donβt Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs
AAAI 2026
Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search
ACL 2026
MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation
ACL 2026
Navigating Through Paper Flood: Advancing LLM-Based Paper Evaluation Through Domain-Aware Retrieval and Latent Reasoning
AAAI 2026
ReList: A Multi-objective Reasoning Framework for Diversified Listwise Query Recommendation
ACL 2026
TROJail: Trajectory-Level Optimization for Multi-Turn Large Language Model Jailbreaks with Process Rewards
ACL 2026
Assistant-Guided Mitigation of Teacher Preference Bias in LLM-as-a-Judge
EMNLP 2025
Consistency-Aware Online Multi-Objective Alignment for Related Search Query Generation
ACL 2025
Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs
COLING 2025
CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG
AAAI 2025
Customizing In-context Learning for Dynamic Interest Adaption in LLM-based Recommendation
ACL 2025
Decoding in Latent Spaces for Efficient Inference in LLM-based Recommendation
EMNLP 2025
Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning
ACL 2025
Efficient Inference for Large Language Model-based Generative Recommendation
ICLR 2025
Examining False Positives under Inference Scaling for Mathematical Reasoning
EMNLP 2025
HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense Reasoning
ACL 2025
Item-Language Model: Improving Large Language Model for Recommendation via Item-Language Representation Learning
IJCNLP 2025
K-order Ranking Preference Optimization for Large Language Models
ACL 2025
Latent Inter-User Difference Modeling for LLM Personalization
EMNLP 2025
Leveraging Unpaired Feedback for Long-Term LLM-based Recommendation Tuning
EMNLP 2025
Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization
ACL 2025
Personalized Generation In Large Model Era: A Survey
ACL 2025
Pre-trained Behavioral Model for Malicious User Prediction on Social Platform
AAAI 2025
Self-Improvement Towards Pareto Optimality: Mitigating Preference Conflicts in Multi-Objective Alignment
ACL 2025
Tunable LLM-based Proactive Recommendation Agent
ACL 2025
Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders
ACL 2025
A3S: A General Active Clustering Method with Pairwise Constraints
ICML 2024
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference
ICLR 2024
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models
EMNLP 2024
Direct Multi-Turn Preference Optimization for Language Agents
EMNLP 2024
Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs
COLING 2024
Dual-Phase Accelerated Prompt Optimization
EMNLP 2024
EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction
EMNLP 2024
Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction
ACL 2024
M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning
EMNLP 2024
On the Maximal Local Disparity of Fairness-Aware Classifiers
ICML 2024
Temporally and Distributionally Robust Optimization for Cold-Start Recommendation
AAAI 2024
Text-like Encoding of Collaborative Information in Large Language Models for Recommendation
ACL 2024
Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection
EMNLP 2024
APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models
EMNLP 2023
Attack Prompt Generation for Red Teaming and Defending Large Language Models
EMNLP 2023
Black-Box Adversarial Attack on Time Series Classification
AAAI 2023
Counterfactual Active Learning for Out-of-Distribution Generalization
ACL 2023
Discriminative-Invariant Representation Learning for Unbiased Recommendation
IJCAI 2023
Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach
NeurIPS 2023
Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context
ACL 2023
MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction
ACL 2023
MUSTIE: Multimodal Structural Transformer for Web Information Extraction
ACL 2023
Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach
NeurIPS 2023
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training
EMNLP 2023
Robust Prompt Optimization for Large Language Models Against Distribution Shifts
EMNLP 2023
Video-Audio Domain Generalization via Confounder Disentanglement
AAAI 2023
Copy Motion From One to Another: Fake Motion Video Generation
IJCAI 2022
GL-RG: Global-Local Representation Granularity for Video Captioning
IJCAI 2022
Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation
EMNLP 2022
Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning
ACL 2022
Conceptualized and Contextualized Gaussian Embedding
AAAI 2021
Counterfactual Inference for Text Classification Debiasing
ACL 2021
Empowering Language Understanding with Counterfactual Reasoning
ACL 2021
TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance
ACL 2021
Bilinear Graph Neural Network with Neighbor Interactions
IJCAI 2020
Solving Sequential Text Classification as Board-Game Playing
AAAI 2020
Enhancing Stock Movement Prediction with Adversarial Training
IJCAI 2019
Explicit Interaction Model towards Text Classification
AAAI 2019
Cross-Domain Depression Detection via Harvesting Social Media
IJCAI 2018
Discrete Factorization Machines for Fast Feature-based Recommendation
IJCAI 2018
Quality Matters: Assessing cQA Pair Quality via Transductive Multi-View Learning
IJCAI 2018
Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution
IJCAI 2017