Knowledge & Reasoning
4,397 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
1
1
9
8
16
8
17
20
20
37
18
15
41
151
214
332
425
415
532
504
706
771
136
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Papers (including subtopics)
BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving
AAAI 2024
Beaver: Practical Partial Snapshots for Distributed Cloud Services
OSDI 2024
Belief-State Query Policies for User-Aligned POMDPs
NeurIPS 2024
Benchmarking Observational Studies with Experimental Data under Right-Censoring
AISTATS 2024
Beyond Clinical Trials: Using Real World Evidence to Investigate Heterogeneous, Time-Varying Treatment Effects
MLHC 2024
Beyond Entities: A Large-Scale Multi-Modal Knowledge Graph with Triplet Fact Grounding
AAAI 2024
Beyond Model Performance: Can Link Prediction Enrich French Lexical Graphs?
COLING 2024
Beyond Recognising Entailment: Formalising Natural Language Inference from an Argumentative Perspective
ACL 2024
Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional Chaining
ACL 2024
Bilateral Gradual Semantics for Weighted Argumentation
AAAI 2024
Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps
NeurIPS 2024
Biomedical Knowledge Graph Embedding with Householder Projection (Student Abstract)
AAAI 2024
Bivariate Causal Discovery using Bayesian Model Selection
ICML 2024
Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph Embedding
EMNLP 2024
BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining
AAAI 2024
Bounding causal effects with leaky instruments
UAI 2024
Bridging Computational Lexicography and Corpus Linguistics: A Query Extension for OntoLex-FrAC
COLING 2024
Bringing Motion Taxonomies to Continuous Domains via GPLVM on Hyperbolic manifolds
ICML 2024
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning
AAAI 2024
Bypassing the ASP Bottleneck: Hybrid Grounding by Splitting and Rewriting
IJCAI 2024
Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments
ACL 2024
CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning
ACL 2024
Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey
NAACL 2024
Can Large Language Models Understand DL-Lite Ontologies? An Empirical Study
EMNLP 2024
Capturing Knowledge Graphs and Rules with Octagon Embeddings
IJCAI 2024