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Boi Faltings

35 papers · 2013–2025 · 9 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (12) 🐝 Cross-Pollinator (5) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (64) πŸŒ‰ Interdisciplinary Bridge 🧬 Topic Evolution πŸš€ Conference Pioneer ⚑ Prolific Year (7) πŸ—ƒοΈ Keyword Collector (163) πŸ’Ž Century Club (35) πŸ“ˆ Trend Setter

Conferences

IJCAI (11) EMNLP (6) AAAI (5) ACL (5) EACL (3) UAI (2) ICML (1) IJCNLP (1) NAACL (1)

Top co-authors

Shaobo Cui (8) Diego Antognini (7) Debjit Paul (5) Fei Mi (5) Yiyang Feng (5) Antoine Bosselut (4) Naman Goel (4) Minlie Huang (3) Claudiu Musat (3) Aris Filos-Ratsikas (3)

Keywords

large language model (5) causal inference (4) causal reasoning (4) bayesian inference (3) incentive compatibility (3) catastrophic forgetting (2) game-theoretic mechanism (2) mechanism design (2) commonsense reasoning (2) recommender system (2) peer prediction (2) incentive mechanism (2) natural language inference (2) unsupervised critiquing (2) natural language generation (2) dialog system (2) text generation (2) assignment problem (1) matrix factorization (1) feature extraction (1)

Papers

A Logical Fallacy-Informed Framework for Argument Generation NAACL 2025
Nuance Matters: Probing Epistemic Consistency in Causal Reasoning AAAI 2025
Unraveling Misinformation Propagation in LLM Reasoning EMNLP 2025
Conditional Dichotomy Quantification via Geometric Embedding ACL 2025
Uncertainty in Causality: A New Frontier ACL 2025
Exploring Defeasibility in Causal Reasoning ACL 2024
Peer Neighborhood Mechanisms: A Framework for Mechanism Generalization AAAI 2024
The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning EMNLP 2024
Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning EMNLP 2024
Unveiling the Art of Heading Design: A Harmonious Blend of Summarization, Neology, and Algorithm ACL 2024
REFINER: Reasoning Feedback on Intermediate Representations EACL 2024
Language Model Decoding as Likelihood–Utility Alignment EACL 2023
Game-theoretic Mechanisms for Eliciting Accurate Information IJCAI 2023
Assistive Recipe Editing through Critiquing EACL 2023
Addressing fairness in classification with a model-agnostic multi-objective algorithm UAI 2021
Multi-Dimensional Explanation of Target Variables from Documents AAAI 2021
Rationalization through Concepts ACL 2021
Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems EMNLP 2021
Improving Multi-agent Coordination by Learning to Estimate Contention IJCAI 2021
Interacting with Explanations through Critiquing IJCAI 2021
Rationalization through Concepts IJCNLP 2021
Continual Learning for Natural Language Generation in Task-oriented Dialog Systems EMNLP 2020
Peer-Prediction in the Presence of Outcome Dependent Lying Incentives IJCAI 2020
Memory Augmented Neural Model for Incremental Session-based Recommendation IJCAI 2020
Infochain: A Decentralized, Trustless and Transparent Oracle on Blockchain IJCAI 2020
Bayesian Differential Privacy for Machine Learning ICML 2020
Personalized Peer Truth Serum for Eliciting Multi-Attribute Personal Data UAI 2019
Deep Bayesian Trust: A Dominant and Fair Incentive Mechanism for Crowd AAAI 2019
Context-Tree Recommendation vs Matrix-Factorization: Algorithm Selection and Live Users Evaluation AAAI 2019
Learning to Create Sentence Semantic Relation Graphs for Multi-Document Summarization EMNLP 2019
Anytime Heuristic for Weighted Matching Through Altruism-Inspired Behavior IJCAI 2019
Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems IJCAI 2019
Adaptive Sequential Recommendation Using Context Trees IJCAI 2016
Personalizing Product Rankings Using Collaborative Filtering on Opinion-Derived Topic Profiles IJCAI 2015
Recommendation Using Textual Opinions IJCAI 2013