← Authors

Achille Fokoue

19 papers · 2018–2026 · 6 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (12) πŸ—ΊοΈ Taxonomy Completionist (41) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (7) 🌈 Renaissance Researcher (7) πŸ‘₯ Mega-Team (30) 🀝 Dynamic Duo (12) 🧬 Topic Evolution πŸ’Ž Century Club (18) ⚑ Prolific Year (6) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (85) πŸ”₯ Unstoppable (8)

Conferences

AAAI (5) EMNLP (5) ACL (4) ICLR (2) IJCAI (2) IJCNLP (1)

Top co-authors

Pavan Kapanipathi (12) Ibrahim Abdelaziz (10) Maria Chang (7) Alexander Gray (6) Maxwell Crouse (5) Salim Roukos (5) Hima Karanam (4) Ndivhuwo Makondo (4) Subhajit Chaudhury (4) Udit Sharma (4)

Keywords

knowledge graph (3) semantic parsing (3) knowledge base question answering (3) rule learning (2) reinforcement learning (2) transfer learning (2) logical form (2) automated theorem proving (2) natural language inference (2) science question (2) symbolic reasoning (2) textual entailment (2) language model (2) semantic search (1) autoregressive generation (1) data integration (1) attention mechanism (1) knowledge representation (1) neural network model (1) question answering (1)

Papers

SPIRAL: Symbolic LLM Planning via Grounded and Reflective Search AAAI 2026
Declarative Techniques for NL Queries over Heterogeneous Data EMNLP 2025
Shedding Light on Time Series Classification using Interpretability Gated Networks ICLR 2025
CHRONOS: A Schema-Based Event Understanding and Prediction System AAAI 2024
Self-Supervised Rule Learning to Link Text Segments to Relational Elements of Structured Knowledge EMNLP 2023
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning ACL 2023
Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing ACL 2023
MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types ACL 2023
Weighted Clock Logic Point Process ICLR 2023
An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations IJCAI 2023
SYGMA: A System for Generalizable and Modular Question Answering Over Knowledge Bases EMNLP 2022
A Two-Stage Approach towards Generalization in Knowledge Base Question Answering EMNLP 2022
Leveraging Abstract Meaning Representation for Knowledge Base Question Answering IJCNLP 2021
Leveraging Abstract Meaning Representation for Knowledge Base Question Answering ACL 2021
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving AAAI 2021
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks AAAI 2020
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain AAAI 2019
Interpretable Drug Target Prediction Using Deep Neural Representation IJCAI 2018
An Interface for Annotating Science Questions EMNLP 2018