Reasoning
2,774 papers (30 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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Papers (including subtopics)
Assumption violations in causal discovery and the robustness of score matching
NeurIPS 2023
A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models
JMLR 2023
Automated Planning for Generating and Simulating Traffic Signal Strategies
IJCAI 2023
Automated Verification of Idempotence for Stateful Serverless Applications
OSDI 2023
Automated Verification of Social Laws in Numeric Settings
AAAI 2023
Automatically Verifying Expressive Epistemic Properties of Programs
AAAI 2023
Automatic Verification for Soundness of Bounded QNP Abstractions for Generalized Planning
IJCAI 2023
Back to the Future: Toward a Hybrid Architecture for Ad Hoc Teamwork
AAAI 2023
Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure Abduction
EMNLP 2023
Beyond the Markov Equivalence Class: Extending Causal Discovery under Latent Confounding
CLeaR 2023
Bipolar Abstract Dialectical Frameworks Are Covered by Kleene’s Three-valued Logic
IJCAI 2023
BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information
NeurIPS 2023
Bounding the Family-Wise Error Rate in Local Causal Discovery Using Rademacher Averages (Extended Abstract)
IJCAI 2023
Can ChatGPT Perform Reasoning Using the IRAC Method in Analyzing Legal Scenarios Like a Lawyer?
EMNLP 2023
Can ChatGPT Understand Causal Language in Science Claims?
ACL 2023
Can Large Language Models Reason about Program Invariants?
ICML 2023
Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model
EMNLP 2023
CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering
EMNLP 2023
Causal Bounds in Quasi-Markovian Graphs
ICML 2023
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
NeurIPS 2023
CausalDialogue: Modeling Utterance-level Causality in Conversations
ACL 2023
Causal Discovery for time series from multiple datasets with latent contexts
UAI 2023
Causal Discovery from Subsampled Time Series with Proxy Variables
NeurIPS 2023
Causal Discovery in Semi-Stationary Time Series
NeurIPS 2023
Causal Discovery with Hidden Confounders using the Algorithmic Markov Condition
UAI 2023