Fuli Feng

Controllable LLM Reasoning via Sparse Autoencoder-Based Steering ACL 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 MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation ACL 2026 Don’t 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 Navigating Through Paper Flood: Advancing LLM-Based Paper Evaluation Through Domain-Aware Retrieval and Latent Reasoning AAAI 2026 Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization ACL 2025 Latent Inter-User Difference Modeling for LLM Personalization EMNLP 2025 Examining False Positives under Inference Scaling for Mathematical Reasoning EMNLP 2025 Decoding in Latent Spaces for Efficient Inference in LLM-based Recommendation EMNLP 2025 Assistant-Guided Mitigation of Teacher Preference Bias in LLM-as-a-Judge EMNLP 2025 Leveraging Unpaired Feedback for Long-Term LLM-based Recommendation Tuning EMNLP 2025 Efficient Inference for Large Language Model-based Generative Recommendation ICLR 2025 Tunable LLM-based Proactive Recommendation Agent ACL 2025 Personalized Generation In Large Model Era: A Survey ACL 2025 Consistency-Aware Online Multi-Objective Alignment for Related Search Query Generation ACL 2025 K-order Ranking Preference Optimization for Large Language Models ACL 2025 HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense Reasoning ACL 2025 Self-Improvement Towards Pareto Optimality: Mitigating Preference Conflicts in Multi-Objective Alignment ACL 2025 Customizing In-context Learning for Dynamic Interest Adaption in LLM-based Recommendation ACL 2025 Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning ACL 2025 Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs COLING 2025 Item-Language Model: Improving Large Language Model for Recommendation via Item-Language Representation Learning IJCNLP 2025 CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG AAAI 2025 Pre-trained Behavioral Model for Malicious User Prediction on Social Platform AAAI 2025 Item-Language Model: Improving Large Language Model for Recommendation via Item-Language Representation Learning AACL 2025 Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders ACL 2025 On the Maximal Local Disparity of Fairness-Aware Classifiers ICML 2024 A3S: A General Active Clustering Method with Pairwise Constraints ICML 2024 Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference ICLR 2024 Dual-Phase Accelerated Prompt Optimization EMNLP 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 Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction ACL 2024 Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection EMNLP 2024 Direct Multi-Turn Preference Optimization for Language Agents EMNLP 2024 M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning EMNLP 2024 EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction EMNLP 2024 Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs COLING 2024 Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models EMNLP 2024 MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction ACL 2023 Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach NIPS 2023 Black-Box Adversarial Attack on Time Series Classification AAAI 2023 Video-Audio Domain Generalization via Confounder Disentanglement AAAI 2023 MUSTIE: Multimodal Structural Transformer for Web Information Extraction ACL 2023 Counterfactual Active Learning for Out-of-Distribution Generalization ACL 2023 Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context ACL 2023 Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach NIPS 2023 Robust Prompt Optimization for Large Language Models Against Distribution Shifts EMNLP 2023 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 RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training EMNLP 2023 Discriminative-Invariant Representation Learning for Unbiased Recommendation IJCAI 2023 GL-RG: Global-Local Representation Granularity for Video Captioning IJCAI 2022 Copy Motion From One to Another: Fake Motion Video Generation IJCAI 2022 Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning ACL 2022 Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation EMNLP 2022 TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance ACL 2021 Conceptualized and Contextualized Gaussian Embedding AAAI 2021 Counterfactual Inference for Text Classification Debiasing IJCNLP 2021 Empowering Language Understanding with Counterfactual Reasoning IJCNLP 2021 Empowering Language Understanding with Counterfactual Reasoning ACL 2021 Counterfactual Inference for Text Classification Debiasing ACL 2021 TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance IJCNLP 2021 Bilinear Graph Neural Network with Neighbor Interactions IJCAI 2020 Solving Sequential Text Classification as Board-Game Playing AAAI 2020 Explicit Interaction Model towards Text Classification AAAI 2019 Enhancing Stock Movement Prediction with Adversarial Training IJCAI 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