Xiting Wang
37 papers · 2017–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (10) π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (8)
π£
Hot Topic Early Bird
π
Cross-Pollinator
(13)
πΊοΈ
Taxonomy Completionist
(62)
π€
Dynamic Duo
(15)
π
Grand Slam
π¬
Deep Specialist
(10)
π§¬
Topic Evolution
π
Keyword Champion
(2)
β‘
Prolific Year
(8)
ποΈ
Keyword Collector
(138)
π₯
Unstoppable
(7)
π
Century Club
(32)
π
Conference Pioneer
Conferences
ACL (14)
AAAI (6)
IJCAI (5)
EMNLP (3)
ICML (3)
NIPS (2)
COLING (1)
ICLR (1)
IJCNLP (1)
NAACL (1)
Top co-authors
Keywords
large language model
(12)
text generation
(6)
model interpretability
(4)
representation learning
(4)
explainable recommendation
(3)
explanation generation
(3)
human preference
(2)
value alignment
(2)
recommender system
(2)
reinforcement learning
(2)
few-shot learning
(2)
user modeling
(2)
semi-supervised learning
(2)
retrieval-augmented generation
(2)
headline generation
(2)
feature learning
(2)
preference optimization
(2)
attention mechanism
(2)
multi-task learning
(2)
knowledge distillation
(2)
Papers
PAM: Enhancing General Alignment of Large Reasoning Models through Priority-Aware Metacognition
ACL 2026
SOAR: Supervision from Observation for Agentic Reinforcement Learning
ACL 2026
DPWriter: Reinforcement Learning with Diverse Planning Branching for Creative Writing
ACL 2026
Influence-based Online Experience Selection for Effective RLHF
ACL 2026
Unlocking Implicit Experience: Synthesizing Tool-Use Trajectories from Text
ACL 2026
Think Then React: Towards Unconstrained Action-to-Reaction Motion Generation
ICLR 2025
Optimal Transport-Based Token Weighting scheme for Enhanced Preference Optimization
ACL 2025
Internal Value Alignment in Large Language Models through Controlled Value Vector Activation
ACL 2025
Entropy-based Exploration Conduction for Multi-step Reasoning
ACL 2025
Select, Read, and Write: A Multi-Agent Framework of Full-Text-based Related Work Generation
ACL 2025
RATT: A Thought Structure for Coherent and Correct LLM Reasoning
AAAI 2025
Controlling Large Language Models Through Concept Activation Vectors
AAAI 2025
Uncovering Safety Risks of Large Language Models through Concept Activation Vector
NIPS 2024
BSharedRAG: Backbone Shared Retrieval-Augmented Generation for the E-commerce Domain
EMNLP 2024
Persuading across Diverse Domains: a Dataset and Persuasion Large Language Model
ACL 2024
Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models
ACL 2024
Prototypical Reward Network for Data-Efficient RLHF
ACL 2024
Distillation with Explanations from Large Language Models
COLING 2024
Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Value
NAACL 2024
Evaluating Readability and Faithfulness of Concept-based Explanations
EMNLP 2024
Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes
AAAI 2023
DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation
ACL 2023
Semi-Offline Reinforcement Learning for Optimized Text Generation
ICML 2023
Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization
EMNLP 2022
Towards Fine-Grained Reasoning for Fake News Detection
AAAI 2022
Self-explaining deep models with logic rule reasoning
NIPS 2022
Clickbait Detection via Contrastive Variational Modelling of Text and Label
IJCAI 2022
PENS: A Dataset and Generic Framework for Personalized News Headline Generation
ACL 2021
Learning Groupwise Explanations for Black-Box Models
IJCAI 2021
Fairness-aware News Recommendation with Decomposed Adversarial Learning
AAAI 2021
PENS: A Dataset and Generic Framework for Personalized News Headline Generation
IJCNLP 2021
Towards Explainable Conversational Recommendation
IJCAI 2020
Distance Metric Learning with Joint Representation Diversification
ICML 2020
Towards a Deep and Unified Understanding of Deep Neural Models in NLP
ICML 2019
Explainable Recommendation through Attentive Multi-View Learning
AAAI 2019
Co-Attentive Multi-Task Learning for Explainable Recommendation
IJCAI 2019
Improving Learning-from-Crowds through Expert Validation
IJCAI 2017