← Authors

Shi Feng

70 papers · 2010–2026 · 12 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (15) 🐝 Cross-Pollinator (12) πŸ—ΊοΈ Taxonomy Completionist (104) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (11) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (12) 🀝 Dynamic Duo (35) πŸ† Grand Slam πŸ”¬ Deep Specialist (12) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (295) ⚑ Prolific Year (7) πŸ”₯ Unstoppable (11) πŸ’Ž Century Club (68) ❓ The Questioner (3)

Conferences

EMNLP (18) ACL (16) COLING (9) NAACL (5) AAAI (4) IJCNLP (4) NIPS (4) ICLR (3) IJCAI (3) ICML (2) ACML (1) EACL (1)

Top co-authors

Daling Wang (35) Yifei Zhang (31) Xiaocui Yang (9) Eric Wallace (8) Yongkang Liu (8) Jordan Boyd-Graber (7) Kaisong Song (7) Wei Gao (6) Nishant Balepur (5) Jordan Lee Boyd-Graber (5)

Research topics

Education (1)

Keywords

large language model (8) dialogue system (7) dialogue generation (5) language model (5) reinforcement learning (5) contrastive learning (4) adversarial attack (4) in-context learning (4) question generation (3) few-shot learning (3) multimodal learning (3) question answering (3) sentiment analysis (3) response selection (3) adversarial training (2) zero-shot learning (2) model interpretability (2) prompt engineering (2) self-supervised learning (2) data augmentation (2)

Papers

Mitigating Self-Preference by Authorship Obfuscation AAAI 2026
The Avengers: A Routing Recipe for Collective Intelligence in Language Models AAAI 2026
Language Models as Continuous Self-Evolving Data Engineers EMNLP 2025
Reverse Question Answering: Can an LLM Write a Question so Hard (or Bad) that it Can’t Answer? NAACL 2025
SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model NAACL 2025
Language Models Learn to Mislead Humans via RLHF ICLR 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
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
A Good Plan is Hard to Find: Aligning Models with Preferences is Misaligned with What Helps Users EMNLP 2025
LLM Evaluators Recognize and Favor Their Own Generations NIPS 2024
Large Language Models Help Humans Verify Truthfulness – Except When They Are Convincingly Wrong NAACL 2024
Carrot and Stick: Eliciting Comparison Data and Beyond NIPS 2024
Improving Role-Oriented Dialogue Summarization with Interaction-Aware Contrastive Learning COLING 2024
TIGER: A Unified Generative Model Framework for Multimodal Dialogue Response Generation COLING 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
KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students EMNLP 2024
A SMART Mnemonic Sounds like β€œGlue Tonic”: Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick EMNLP 2024
BERT-BC: A Unified Alignment and Interaction Model over Hierarchical BERT for Response Selection COLING 2024
HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy EMNLP 2024
EmpCRL: Controllable Empathetic Response Generation via In-Context Commonsense Reasoning and Reinforcement Learning COLING 2024
Contrastive Learning with Generated Representations for Inductive Knowledge Graph Embedding ACL 2023
Learning Human-Compatible Representations for Case-Based Decision Support ICLR 2023
Combinatorial Causal Bandits AAAI 2023
Global-Local Modeling with Prompt-Based Knowledge Enhancement for Emotion Inference in Conversation EACL 2023
PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism ACL 2023
Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations ACL 2023
Few-shot Joint Multimodal Aspect-Sentiment Analysis Based on Generative Multimodal Prompt ACL 2023
Active Example Selection for In-Context 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
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
Peer Prediction for Learning Agents NIPS 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
Human-Centered Evaluation of Explanations NAACL 2022
A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training AAAI 2021
Multimodal Sentiment Detection Based on Multi-channel Graph Neural Networks ACL 2021
Boundary Detection with BERT for Span-level Emotion Cause Analysis 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
EmoElicitor: An Open Domain Response Generation Model with User Emotional Reaction Awareness IJCAI 2020
How Pre-trained Word Representations Capture Commonsense Physical Comparisons EMNLP 2019
Universal Adversarial Triggers for Attacking and Analyzing NLP IJCNLP 2019
Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation ICML 2019
Answer-guided and Semantic Coherent Question Generation in Open-domain Conversation IJCNLP 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
Misleading Failures of Partial-input Baselines ACL 2019
Universal Adversarial Triggers for Attacking and Analyzing NLP EMNLP 2019
Interpreting Neural Networks with Nearest Neighbors EMNLP 2018
A Co-Attention Neural Network Model for Emotion Cause Analysis with Emotional Context Awareness EMNLP 2018
Pathologies of Neural Models Make Interpretations Difficult EMNLP 2018
Personalized Microblog Sentiment Classification via Adversarial Cross-lingual Multi-task Learning EMNLP 2018
Recommendation vs Sentiment Analysis: A Text-Driven Latent Factor Model for Rating Prediction with Cold-Start Awareness IJCAI 2017
Knowledge-Based Semantic Embedding for Machine Translation ACL 2016
Improving Attention Modeling with Implicit Distortion and Fertility for Machine Translation COLING 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