SOTAVerified

Logical Reasoning

Papers

Showing 51100 of 747 papers

TitleStatusHype
Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical ReasoningCode2
Ontology Embedding: A Survey of Methods, Applications and ResourcesCode2
A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and InteractivityCode1
Learning to Reason via Mixture-of-Thought for Logical ReasoningCode1
LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic ProversCode1
LatEval: An Interactive LLMs Evaluation Benchmark with Incomplete Information from Lateral Thinking PuzzlesCode1
Certified Deductive Reasoning with Language ModelsCode1
LeanReasoner: Boosting Complex Logical Reasoning with LeanCode1
Chain of Images for Intuitively ReasoningCode1
Learning Deductive Reasoning from Synthetic Corpus based on Formal LogicCode1
LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language ModelsCode1
Improving Large Language Models in Event Relation Logical PredictionCode1
Large Language Models are Better Reasoners with Self-VerificationCode1
Enhancing Multilingual Language Model with Massive Multilingual Knowledge TriplesCode1
Alice: Proactive Learning with Teacher's Demonstrations for Weak-to-Strong GeneralizationCode1
Large Language Models for Planning: A Comprehensive and Systematic SurveyCode1
Improved Logical Reasoning of Language Models via Differentiable Symbolic ProgrammingCode1
Hypergraph Multi-modal Large Language Model: Exploiting EEG and Eye-tracking Modalities to Evaluate Heterogeneous Responses for Video UnderstandingCode1
IDOL: Indicator-oriented Logic Pre-training for Logical ReasoningCode1
Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-AugmentationCode1
Evolving Scientific Discovery by Unifying Data and Background Knowledge with AI HilbertCode1
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language ModelsCode1
AI Descartes: Combining Data and Theory for Derivable Scientific DiscoveryCode1
Large Language Models Meet Symbolic Provers for Logical Reasoning EvaluationCode1
FOLIO: Natural Language Reasoning with First-Order LogicCode1
Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real WorldCode1
DetermLR: Augmenting LLM-based Logical Reasoning from Indeterminacy to DeterminacyCode1
FaiRR: Faithful and Robust Deductive Reasoning over Natural LanguageCode1
Explicit Planning Helps Language Models in Logical ReasoningCode1
ExAIS: Executable AI SemanticsCode1
From LSAT: The Progress and Challenges of Complex ReasoningCode1
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge GraphsCode1
A Peek into Token Bias: Large Language Models Are Not Yet Genuine ReasonersCode1
Domain Specific Question Answering Over Knowledge Graphs Using Logical Programming and Large Language ModelsCode1
BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMsCode1
Enhancing the Geometric Problem-Solving Ability of Multimodal LLMs via Symbolic-Neural IntegrationCode1
Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4Code1
End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without OverthinkingCode1
Exposing Numeracy Gaps: A Benchmark to Evaluate Fundamental Numerical Abilities in Large Language ModelsCode1
Fact-driven Logical Reasoning for Machine Reading ComprehensionCode1
ElecBench: a Power Dispatch Evaluation Benchmark for Large Language ModelsCode1
Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMsCode1
Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and BeyondCode1
Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis GenerationCode1
AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading ComprehensionCode1
Automatic Curriculum Expert Iteration for Reliable LLM ReasoningCode1
Do Large Language Models Excel in Complex Logical Reasoning with Formal Language?Code1
HAE-RAE Bench: Evaluation of Korean Knowledge in Language ModelsCode1
Discriminative Reasoning for Document-level Relation ExtractionCode1
A Neuro-vector-symbolic Architecture for Solving Raven's Progressive MatricesCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Claude OpusDelta_NoContext28.8Unverified
2GPT-4oDelta_NoContext25.1Unverified
3Gemini 1.5 ProDelta_NoContext23.4Unverified
4GPT-4Delta_NoContext21.5Unverified
5Command R+Delta_NoContext11.6Unverified
6GPT-3.5Delta_NoContext11.2Unverified
7Mixtral 8x7BDelta_NoContext6.4Unverified
8Llama 3 8BDelta_NoContext4.9Unverified
9Llama 3 70BDelta_NoContext2.9Unverified
10Gemma 7BDelta_NoContext2.2Unverified
#ModelMetricClaimedVerifiedStatus
1PaLM 2 (few-shot, k=3, Direct)Accuracy64.8Unverified
2PaLM 2 (few-shot, k=3, CoT)Accuracy57.2Unverified
3OPT 66B (few-shot, k=3)Accuracy54Unverified
4PaLM 540B (few-shot, k=3)Accuracy53.6Unverified
5GPT-NeoX 20B (few-shot, k=3)Accuracy52.8Unverified
6BLOOM 176B (few-shot, k=3)Accuracy52.8Unverified
7Chinchilla-70B (few-shot, k=5)Accuracy52.1Unverified
8Bloomberg GPT 50B (few-shot, k=3)Accuracy50.8Unverified
9Gopher-280B (few-shot, k=5)Accuracy50.7Unverified
#ModelMetricClaimedVerifiedStatus
1PaLM 2 (few-shot, k=3, CoT)Accuracy84.9Unverified
2PaLM 2 (few-shot, k=3, Direct)Accuracy65.8Unverified
3Chinchilla-70B (few-shot, k=5)Accuracy48.7Unverified
4PaLM 540B (few-shot, k=3)Accuracy44.5Unverified
5Gopher-280B (few-shot, k=5)Accuracy40.6Unverified
6BLOOM 176B (few-shot, k=3)Accuracy40.41Unverified
7Bloomberg GPT (few-shot, k=3)Accuracy37.67Unverified
8GPT-NeoX (few-shot, k=3)Accuracy33.56Unverified
9OPT 66B (few-shot, k=3)Accuracy28.08Unverified
#ModelMetricClaimedVerifiedStatus
1PaLM 2 (few-shot, k=3, CoT)Accuracy91.2Unverified
2PaLM 2 (few-shot, k=3, Direct)Accuracy61.2Unverified
3Chinchilla-70B (few-shot, k=5)Accuracy59.7Unverified
4Gopher-280B (few-shot, k=5)Accuracy49.2Unverified
5PaLM 540B (few-shot, k=3)Accuracy38Unverified
6BLOOM 176B (few-shot, k=3)Accuracy36.8Unverified
7Bloomberg GPT (few-shot, k=3)Accuracy34.8Unverified
8OPT 66B (few-shot, k=3)Accuracy31.2Unverified
9GPT-NeoX (few-shot, k=3)Accuracy26Unverified
#ModelMetricClaimedVerifiedStatus
1PaLM 2 (few-shot, k=3, CoT)Accuracy100Unverified
2PaLM 2 (few-shot, k=3, Direct)Accuracy96.4Unverified
3PaLM 540B (few-shot, k=3)Accuracy39.6Unverified
4BLOOM 176B (few-shot, k=3)Accuracy36.8Unverified
5Chinchilla-70B (few-shot, k=5)Accuracy32Unverified
6Bloomberg GPT (few-shot, k=3)Accuracy29.2Unverified
7OPT 66B (few-shot, k=3)Accuracy23.6Unverified
8GPT-NeoX (few-shot, k=3)Accuracy21.2Unverified
9Gopher-280B (few-shot, k=5)Accuracy19Unverified
#ModelMetricClaimedVerifiedStatus
1Chinchilla-70B (few-shot, k=5)Accuracy44Unverified
2PaLM-540B (few-shot, k=5)Accuracy42.4Unverified
3PaLM-62B (few-shot, k=5)Accuracy36.5Unverified
4Gopher-280B (few-shot, k=5)Accuracy35.1Unverified
#ModelMetricClaimedVerifiedStatus
1PaLM-540B (few-shot, k=5)Accuracy73.9Unverified
2Chinchilla-70B (few-shot, k=5)Accuracy68.3Unverified
3PaLM-62B (few-shot, k=5)Accuracy65.4Unverified
4Gopher-280B (few-shot, k=5)Accuracy61Unverified
#ModelMetricClaimedVerifiedStatus
1Human benchmarkAccuracy 83.7Unverified
2RuGPT-3 LargeAccuracy 40.7Unverified
3RuGPT-3 MediumAccuracy 38Unverified
4RuGPT-3 SmallAccuracy 34Unverified
#ModelMetricClaimedVerifiedStatus
1Human benchmarkAccuracy87Unverified
2RuGPT-3 SmallAccuracy57.9Unverified
3RuGPT-3 MediumAccuracy57.2Unverified
4RuGPT-3 LargeAccuracy55.5Unverified
#ModelMetricClaimedVerifiedStatus
1Chinchilla-70B (few-shot, k=5)Accuracy72.1Unverified
2Gopher-280B (few-shot, k=5)Accuracy58.9Unverified