conftrace_

Reasoning

2,774 papers (30 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Causal Inference (1,197) Automated Reasoning (876) Formal Methods (379) Automated Planning (304) Graph Embeddings (227)

Papers per year

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99

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Papers (including subtopics)

Is Table Retrieval a Solved Problem? Exploring Join-Aware Multi-Table Retrieval ACL 2024 Iteratively Refined Early Interaction Alignment for Subgraph Matching based Graph Retrieval NeurIPS 2024 JellyBell at TextGraphs-17 Shared Task: Fusing Large Language Models with External Knowledge for Enhanced Question Answering ACL 2024 JEMHopQA: Dataset for Japanese Explainable Multi-Hop Question Answering COLING 2024 Justifying Argument Acceptance with Collective Attacks: Discussions and Disputes IJCAI 2024 KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning ICML 2024 Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models ACL 2024 Knowledge-Enhanced Historical Document Segmentation and Recognition AAAI 2024 Knowledge Graphs Can be Learned with Just Intersection Features ICML 2024 Knowledge Graphs for Real-World Rumour Verification COLING 2024 Language Models Represent Beliefs of Self and Others ICML 2024 Large Language Models Can Learn Temporal Reasoning ACL 2024 Laying the Foundations for Solving FOND HTN Problems: Grounding, Search, Heuristics (and Benchmark Problems) IJCAI 2024 Learning a Distributed Hierarchical Locomotion Controller for Embodied Cooperation CoRL 2024 Learning and scoring Gaussian latent variable causal models with unknown additive interventions JMLR 2024 Learning Causal Abstractions of Linear Structural Causal Models UAI 2024 Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms IJCAI 2024 Learning Causal Relations from Subsampled Time Series with Two Time-Slices ICML 2024 Learning Discrete Concepts in Latent Hierarchical Models NeurIPS 2024 Learning Discrete Latent Variable Structures with Tensor Rank Conditions NeurIPS 2024 Learning Divergence Fields for Shift-Robust Graph Representations ICML 2024 Learning Domain-Independent Heuristics for Grounded and Lifted Planning AAAI 2024 Learning Gaussian DAGs from Network Data JMLR 2024 Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes AISTATS 2024 Learning Human Action Representations from Temporal Context in Lifestyle Vlogs ACL 2024