SOTAVerified

Logical Reasoning

Papers

Showing 51100 of 747 papers

TitleStatusHype
LTNtorch: PyTorch Implementation of Logic Tensor NetworksCode2
Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and AmendmentCode2
A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and InteractivityCode1
Improving Large Language Models in Event Relation Logical PredictionCode1
LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic ProversCode1
LeanReasoner: Boosting Complex Logical Reasoning with LeanCode1
Learning Deductive Reasoning from Synthetic Corpus based on Formal LogicCode1
End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without OverthinkingCode1
LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language ModelsCode1
Learning to Reason via Mixture-of-Thought for Logical ReasoningCode1
ElecBench: a Power Dispatch Evaluation Benchmark for Large Language ModelsCode1
Enhancing the Geometric Problem-Solving Ability of Multimodal LLMs via Symbolic-Neural IntegrationCode1
Large Language Models for Planning: A Comprehensive and Systematic SurveyCode1
Large Language Models are Better Reasoners with Self-VerificationCode1
Alice: Proactive Learning with Teacher's Demonstrations for Weak-to-Strong GeneralizationCode1
Large Language Models Meet Symbolic Provers for Logical Reasoning EvaluationCode1
Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical ReasoningCode1
Dynamics of Instruction Tuning: Each Ability of Large Language Models Has Its Own Growth PaceCode1
Enhancing Multilingual Language Model with Massive Multilingual Knowledge TriplesCode1
Improved Logical Reasoning of Language Models via Differentiable Symbolic ProgrammingCode1
Divide and Translate: Compositional First-Order Logic Translation and Verification for Complex Logical ReasoningCode1
Evolving Scientific Discovery by Unifying Data and Background Knowledge with AI HilbertCode1
Do Large Language Models Excel in Complex Logical Reasoning with Formal Language?Code1
AI Descartes: Combining Data and Theory for Derivable Scientific DiscoveryCode1
LatEval: An Interactive LLMs Evaluation Benchmark with Incomplete Information from Lateral Thinking PuzzlesCode1
HAE-RAE Bench: Evaluation of Korean Knowledge in Language ModelsCode1
Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real WorldCode1
Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-AugmentationCode1
GLoRE: Evaluating Logical Reasoning of Large Language ModelsCode1
Counterfactual reasoning: Testing language models' understanding of hypothetical scenariosCode1
Discriminative Reasoning for Document-level Relation ExtractionCode1
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language ModelsCode1
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge GraphsCode1
A Peek into Token Bias: Large Language Models Are Not Yet Genuine ReasonersCode1
Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical ReasoningCode1
Domain Specific Question Answering Over Knowledge Graphs Using Logical Programming and Large Language ModelsCode1
BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMsCode1
Cross from Left to Right Brain: Adaptive Text Dreamer for Vision-and-Language NavigationCode1
DetermLR: Augmenting LLM-based Logical Reasoning from Indeterminacy to DeterminacyCode1
DAGN: Discourse-Aware Graph Network for Logical ReasoningCode1
From LSAT: The Progress and Challenges of Complex ReasoningCode1
Counterfactual reasoning: Do language models need world knowledge for causal understanding?Code1
Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and BeyondCode1
Deductive Verification of Chain-of-Thought ReasoningCode1
ConditionalQA: A Complex Reading Comprehension Dataset with Conditional AnswersCode1
Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis GenerationCode1
FOLIO: Natural Language Reasoning with First-Order LogicCode1
Hypergraph Multi-modal Large Language Model: Exploiting EEG and Eye-tracking Modalities to Evaluate Heterogeneous Responses for Video UnderstandingCode1
AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading ComprehensionCode1
Automatic Curriculum Expert Iteration for Reliable LLM ReasoningCode1
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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