← Authors

Hongning Wang

65 papers · 2010–2026 · 11 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (7) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (15) 🌍 Conference Polyglot (11) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (22) 🀝 Dynamic Duo (25) πŸ‘‘ Triple Crown πŸ† Keyword Champion (4) πŸ† Grand Slam πŸ‘₯ Mega-Team (20) πŸ”¬ Deep Specialist (11) 🧬 Topic Evolution ⚑ Prolific Year (8) πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (67) πŸ’Ž Century Club (64) ❓ The Questioner (4) πŸš€ Conference Pioneer

Conferences

ACL (14) NIPS (12) ICLR (11) AAAI (8) EMNLP (7) ICML (5) AISTATS (3) IJCNLP (2) COLING (1) ICCV (1) IJCAI (1)

Top co-authors

Minlie Huang (26) Chuanhao Li (13) Jie Tang (13) Pei Ke (13) Haifeng Xu (9) Yuxiao Dong (9) Xiaotao Gu (8) Jiale Cheng (8) Xiao Liu (7) Jinfeng Zhou (7)

Research topics

Privacy (1)

Keywords

large language model (16) multi-armed bandit (6) benchmark evaluation (6) recommendation system (5) contextual bandit (5) recommender system (5) federated learning (4) domain adaptation (3) adversarial attack (3) online learning (3) dialogue system (3) prompt optimization (3) instruction following (3) communication efficiency (3) game theory (2) multi-objective optimization (2) regret bound (2) reinforcement learning (2) reinforcement learning from human feedback (2) off-policy learning (2)

Papers

When Smiley Turns Hostile: Interpreting How Emojis Trigger LLMs’ Toxicity AAAI 2026
CharacterBench: Benchmarking Character Customization of Large Language Models AAAI 2025
LongSafety: Evaluating Long-Context Safety of Large Language Models ACL 2025
SocialEval: Evaluating Social Intelligence of Large Language Models ACL 2025
Guiding not Forcing: Enhancing the Transferability of Jailbreaking Attacks on LLMs via Removing Superfluous Constraints ACL 2025
MAPS: Advancing Multi-Modal Reasoning in Expert-Level Physical Science ICLR 2025
VPO: Aligning Text-to-Video Generation Models with Prompt Optimization ICCV 2025
Data Selection via Optimal Control for Language Models ICLR 2025
CodePlan: Unlocking Reasoning Potential in Large Language Models by Scaling Code-form Planning ICLR 2025
Tree-KG: An Expandable Knowledge Graph Construction Framework for Knowledge-intensive Domains ACL 2025
RecFlow: An Industrial Full Flow Recommendation Dataset ICLR 2025
Crisp: Cognitive Restructuring of Negative Thoughts through Multi-turn Supportive Dialogues EMNLP 2025
SelfRACG: Enabling LLMs to Self-Express and Retrieve for Code Generation EMNLP 2025
HPSS: Heuristic Prompting Strategy Search for LLM Evaluators ACL 2025
SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models ICLR 2025
SocialSim: Towards Socialized Simulation of Emotional Support Conversation AAAI 2025
LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models ACL 2025
Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits AAAI 2024
Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation NIPS 2024
Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms NIPS 2024
AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback NIPS 2024
Benchmarking Complex Instruction-Following with Multiple Constraints Composition NIPS 2024
Meta-Reinforcement Learning via Exploratory Task Clustering AAAI 2024
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training ACL 2024
Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization ACL 2024
AlignBench: Benchmarking Chinese Alignment of Large Language Models ACL 2024
Learning Task Decomposition to Assist Humans in Competitive Programming ACL 2024
CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation ACL 2024
Federated Linear Contextual Bandits with Heterogeneous Clients AISTATS 2024
CharacterGLM: Customizing Social Characters with Large Language Models EMNLP 2024
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models EMNLP 2024
ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors EMNLP 2024
Incentivized Truthful Communication for Federated Bandits ICLR 2024
Language Model Decoding as Direct Metrics Optimization ICLR 2024
Towards Efficient Exact Optimization of Language Model Alignment ICML 2024
Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict? ICML 2024
Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial? NIPS 2023
Multi-Objective Intrinsic Reward Learning for Conversational Recommender Systems NIPS 2023
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation EMNLP 2023
How Bad is Top-$K$ Recommendation under Competing Content Creators? ICML 2023
Incentivized Communication for Federated Bandits NIPS 2023
Uncertainty-Aware Instance Reweighting for Off-Policy Learning NIPS 2023
Spectral Augmentation for Self-Supervised Learning on Graphs ICLR 2023
Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment ICLR 2023
Learning the Optimal Recommendation from Explorative Users AAAI 2022
Learning Neural Contextual Bandits through Perturbed Rewards ICLR 2022
IMO^3: Interactive Multi-Objective Off-Policy Optimization IJCAI 2022
Learning from a Learning User for Optimal Recommendations ICML 2022
Communication Efficient Federated Learning for Generalized Linear Bandits NIPS 2022
Communication Efficient Distributed Learning for Kernelized Contextual Bandits NIPS 2022
When Are Linear Stochastic Bandits Attackable? ICML 2022
Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits AISTATS 2022
Unifying Clustered and Non-stationary Bandits AISTATS 2021
Learning from Crowds by Modeling Common Confusions AAAI 2021
Relation Inference among Sensor Time Series in Smart Buildings with Metric Learning AAAI 2020
A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation NIPS 2019
Adversarial Domain Adaptation for Machine Reading Comprehension EMNLP 2019
Adversarial Domain Adaptation for Machine Reading Comprehension IJCNLP 2019
Bandit Learning with Implicit Feedback NIPS 2018
Multi-Task Learning for Document Ranking and Query Suggestion ICLR 2018
Modeling Social Norms Evolution for Personalized Sentiment Classification ACL 2016
Model Adaptation for Personalized Opinion Analysis IJCNLP 2015
Model Adaptation for Personalized Opinion Analysis ACL 2015
Structural Topic Model for Latent Topical Structure Analysis ACL 2011
Exploiting Structured Ontology to Organize Scattered Online Opinions COLING 2010