Xiting Wang

36 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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+12 more ↓

🗺️ Taxonomy Completionist (63) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🔬 Deep Specialist (10) 🤝 Dynamic Duo (15) 🧬 Topic Evolution 🏆 Grand Slam 🏆 Keyword Champion (2) 🌈 Renaissance Researcher (5) 🔥 Unstoppable · Bronze ⚡ Prolific Year · Productive 🚀 Conference Pioneer 💎 Century Club · Bronze 📈 Trend Setter 🗃️ Keyword Collector (156)

Venues

ACL (14) AAAI (6) IJCAI (5) EMNLP (3) ICML (3) NeurIPS (2) COLING (1) ICLR (1) NAACL (1)

Top co-authors

Xing Xie (15) Xiaoyuan Yi (5) Zhihao Xu (5) Ruihua Song (5) Xiang Ao (4) Yiqiao Jin (4) Changyu CHEN (4) Meng Li (4) Yasha Wang (3) Kunpeng Liu (3)

Research topics

Artificial Intelligence (24) Core AI (23) Machine Learning (21) Natural Language Processing (16) Learning Types · Machine Learning (14) Deep Learning (13) Learning Types · Deep Learning (10) Application Areas (8) Generation (8) Core Methods (7) Resources & Methods (7) Applications (4) Optimization & Theory (4) Data Science & Analytics (2) Reinforcement Learning (2)

Keywords

large language model (12) text generation (5) representation learning (4) model interpretability (4) explainable recommendation (3) explanation generation (3) prototypical network (2) semi-supervised learning (2) human preference (2) reinforcement learning (2) reinforcement learning from human feedback (2) retrieval-augmented generation (2) multi-task learning (2) recommender system (2) few-shot learning (2) feature learning (2) attention mechanism (2) knowledge distillation (2) preference optimization (2) value alignment (2)

Papers

DPWriter: Reinforcement Learning with Diverse Planning Branching for Creative Writing ACL 2026 Influence-based Online Experience Selection for Effective RLHF ACL 2026 PAM: Enhancing General Alignment of Large Reasoning Models through Priority-Aware Metacognition ACL 2026 SOAR: Supervision from Observation for Agentic Reinforcement Learning ACL 2026 Unlocking Implicit Experience: Synthesizing Tool-Use Trajectories from Text ACL 2026 Controlling Large Language Models Through Concept Activation Vectors AAAI 2025 Entropy-based Exploration Conduction for Multi-step Reasoning ACL 2025 Internal Value Alignment in Large Language Models through Controlled Value Vector Activation ACL 2025 Optimal Transport-Based Token Weighting scheme for Enhanced Preference Optimization ACL 2025 RATT: A Thought Structure for Coherent and Correct LLM Reasoning AAAI 2025 Select, Read, and Write: A Multi-Agent Framework of Full-Text-based Related Work Generation ACL 2025 Think Then React: Towards Unconstrained Action-to-Reaction Motion Generation ICLR 2025 BSharedRAG: Backbone Shared Retrieval-Augmented Generation for the E-commerce Domain EMNLP 2024 Distillation with Explanations from Large Language Models COLING 2024 Evaluating Readability and Faithfulness of Concept-based Explanations EMNLP 2024 Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models ACL 2024 Persuading across Diverse Domains: a Dataset and Persuasion Large Language Model ACL 2024 Prototypical Reward Network for Data-Efficient RLHF ACL 2024 Uncovering Safety Risks of Large Language Models through Concept Activation Vector NeurIPS 2024 Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Value NAACL 2024 DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation ACL 2023 Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes AAAI 2023 Semi-Offline Reinforcement Learning for Optimized Text Generation ICML 2023 Clickbait Detection via Contrastive Variational Modelling of Text and Label IJCAI 2022 Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization EMNLP 2022 Self-explaining deep models with logic rule reasoning NeurIPS 2022 Towards Fine-Grained Reasoning for Fake News Detection AAAI 2022 Fairness-aware News Recommendation with Decomposed Adversarial Learning AAAI 2021 Learning Groupwise Explanations for Black-Box Models IJCAI 2021 PENS: A Dataset and Generic Framework for Personalized News Headline Generation ACL 2021 Distance Metric Learning with Joint Representation Diversification ICML 2020 Towards Explainable Conversational Recommendation IJCAI 2020 Co-Attentive Multi-Task Learning for Explainable Recommendation IJCAI 2019 Explainable Recommendation through Attentive Multi-View Learning AAAI 2019 Towards a Deep and Unified Understanding of Deep Neural Models in NLP ICML 2019 Improving Learning-from-Crowds through Expert Validation IJCAI 2017