Shi Feng

SAFE-QAQ: End-to-End Slow-Thinking Audio-Text Fraud Detection via Reinforcement Learning ACL 2026 Mitigating Self-Preference by Authorship Obfuscation AAAI 2026 Look Within or Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-Tuning ACL 2026 Nature-Inspired Population-Based Evolution of Large Language Models ACL 2026 GenPT: Beyond Self-Report for Reliable LLM Psychometrics via Generative Projective Testing ACL 2026 MTRouter: Cost-Aware Multi-Turn LLM Routing with History–Model Joint Embeddings ACL 2026 ES4R: Speech Encoding Based on Prepositive Affective Modeling for Empathetic Response Generation ACL 2026 SAD: A Large-Scale Strategic Argumentative Dialogue Dataset ACL 2026 Cat-MoD: Accelerating Multimodal Alignment via Caption Token Guided Asymmetric Mixture-of-Depths ACL 2026 Why Do More Experts Fail? A Theoretical Analysis of Model Merging ACL 2026 The Avengers: A Routing Recipe for Collective Intelligence in Language Models AAAI 2026 CIRAG: Construction–Integration Retrieval and Adaptive Generation for Multi-hop Question Answering ACL 2026 SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model NAACL 2025 Reverse Question Answering: Can an LLM Write a Question so Hard (or Bad) that it Can’t Answer? NAACL 2025 Language Models Learn to Mislead Humans via RLHF ICLR 2025 Adaptive Deployment of Untrusted LLMs Reduces Distributed Threats ICLR 2025 TOOL-ED: Enhancing Empathetic Response Generation with the Tool Calling Capability of LLM COLING 2025 Language Models as Continuous Self-Evolving Data Engineers EMNLP 2025 A Good Plan is Hard to Find: Aligning Models with Preferences is Misaligned with What Helps Users EMNLP 2025 TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos ACL 2025 Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas ACL 2025 Pixel-Level Reasoning Segmentation via Multi-turn Conversations ACL 2025 MUSE: A Multimodal Conversational Recommendation Dataset with Scenario-Grounded User Profiles ACL 2025 SemanticCamo: Jailbreaking Large Language Models through Semantic Camouflage ACL 2025 AnnaAgent: Dynamic Evolution Agent System with Multi-Session Memory for Realistic Seeker Simulation ACL 2025 TIGER: A Unified Generative Model Framework for Multimodal Dialogue Response Generation COLING 2024 LLM Evaluators Recognize and Favor Their Own Generations NIPS 2024 Carrot and Stick: Eliciting Comparison Data and Beyond NIPS 2024 ALPINE: Unveiling The Planning Capability of Autoregressive Learning in Language Models NIPS 2024 STICKERCONV: Generating Multimodal Empathetic Responses from Scratch ACL 2024 Combinatorial Causal Bandits without Graph Skeleton ACML 2024 BERT-BC: A Unified Alignment and Interaction Model over Hierarchical BERT for Response Selection COLING 2024 EmpCRL: Controllable Empathetic Response Generation via In-Context Commonsense Reasoning and Reinforcement Learning COLING 2024 Improving Role-Oriented Dialogue Summarization with Interaction-Aware Contrastive Learning COLING 2024 KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students EMNLP 2024 A SMART Mnemonic Sounds like “Glue Tonic”: Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick EMNLP 2024 HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy EMNLP 2024 Large Language Models Help Humans Verify Truthfulness – Except When They Are Convincingly Wrong NAACL 2024 Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations ACL 2023 Combinatorial Causal Bandits AAAI 2023 Few-shot Joint Multimodal Aspect-Sentiment Analysis Based on Generative Multimodal Prompt ACL 2023 Global-Local Modeling with Prompt-Based Knowledge Enhancement for Emotion Inference in Conversation EACL 2023 Learning Human-Compatible Representations for Case-Based Decision Support ICLR 2023 PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism ACL 2023 Contrastive Learning with Generated Representations for Inductive Knowledge Graph Embedding ACL 2023 Peer Prediction for Learning Agents NIPS 2022 Human-Centered Evaluation of Explanations NAACL 2022 KC-ISA: An Implicit Sentiment Analysis Model Combining Knowledge Enhancement and Context Features COLING 2022 Learning to Explain Selectively: A Case Study on Question Answering EMNLP 2022 Active Example Selection for In-Context Learning EMNLP 2022 DialogConv: A Lightweight Fully Convolutional Network for Multi-view Response Selection EMNLP 2022 Alleviating Sparsity of Open Knowledge Graphs with Ternary Contrastive Learning EMNLP 2022 Learning to Improve Persona Consistency in Multi-party Dialogue Generation via Text Knowledge Enhancement COLING 2022 MulZDG: Multilingual Code-Switching Framework for Zero-shot Dialogue Generation COLING 2022 Multimodal Sentiment Detection Based on Multi-channel Graph Neural Networks ACL 2021 Calibrate Before Use: Improving Few-shot Performance of Language Models ICML 2021 Multimodal Sentiment Detection Based on Multi-channel Graph Neural Networks IJCNLP 2021 Boundary Detection with BERT for Span-level Emotion Cause Analysis IJCNLP 2021 Concealed Data Poisoning Attacks on NLP Models NAACL 2021 A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training AAAI 2021 Boundary Detection with BERT for Span-level Emotion Cause Analysis ACL 2021 EmoElicitor: An Open Domain Response Generation Model with User Emotional Reaction Awareness IJCAI 2020 Answer-guided and Semantic Coherent Question Generation in Open-domain Conversation IJCNLP 2019 Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation ICML 2019 How Pre-trained Word Representations Capture Commonsense Physical Comparisons EMNLP 2019 Answer-Supervised Question Reformulation for Enhancing Conversational Machine Comprehension EMNLP 2019 Answer-guided and Semantic Coherent Question Generation in Open-domain Conversation EMNLP 2019 Universal Adversarial Triggers for Attacking and Analyzing NLP EMNLP 2019 Universal Adversarial Triggers for Attacking and Analyzing NLP IJCNLP 2019 Misleading Failures of Partial-input Baselines ACL 2019 Personalized Microblog Sentiment Classification via Adversarial Cross-lingual Multi-task Learning EMNLP 2018 Pathologies of Neural Models Make Interpretations Difficult EMNLP 2018 Interpreting Neural Networks with Nearest Neighbors EMNLP 2018 A Co-Attention Neural Network Model for Emotion Cause Analysis with Emotional Context Awareness EMNLP 2018 Recommendation vs Sentiment Analysis: A Text-Driven Latent Factor Model for Rating Prediction with Cold-Start Awareness IJCAI 2017 Improving Attention Modeling with Implicit Distortion and Fertility for Machine Translation COLING 2016 Knowledge-Based Semantic Embedding for Machine Translation ACL 2016 Personalized Sentiment Classification Based on Latent Individuality of Microblog Users IJCAI 2015 Is Twitter A Better Corpus for Measuring Sentiment Similarity? EMNLP 2013 A Unified Graph Model for Sentence-Based Opinion Retrieval ACL 2010