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Logical Reasoning

Papers

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Showing 301–350 of 747 papers

TitleStatusHype
TimeLogic: A Temporal Logic Benchmark for Video QA—0
Neural Probabilistic Circuits: Enabling Compositional and Interpretable Predictions through Logical Reasoning—0
Multimodal-to-Text Prompt Engineering in Large Language Models Using Feature Embeddings for GNSS Interference Characterization—0
Enhancing Transformers for Generalizable First-Order Logical Entailment—0
KnowRA: Knowledge Retrieval Augmented Method for Document-level Relation Extraction with Comprehensive Reasoning Abilities—0
SecBench: A Comprehensive Multi-Dimensional Benchmarking Dataset for LLMs in Cybersecurity—0
StructTest: Benchmarking LLMs' Reasoning through Compositional Structured Outputs—0
Aristotle: Mastering Logical Reasoning with A Logic-Complete Decompose-Search-Resolve FrameworkCode0
Formal Language Knowledge Corpus for Retrieval Augmented Generation—0
Logical Consistency of Large Language Models in Fact-checking—0
SPHERE: A Hierarchical Evaluation on Spatial Perception and Reasoning for Vision-Language ModelsCode0
Reasoning-Aware Query-Focused Summarization over Multi-Table Data—0
Federated In-Context LLM Agent Learning—0
Algorithmic Phase Transitions in Language Models: A Mechanistic Case Study of Arithmetic—0
Can OpenAI o1 outperform humans in higher-order cognitive thinking?—0
Who Speaks Next? Multi-party AI Discussion Leveraging the Systematics of Turn-taking in Murder Mystery GamesCode0
MTMT: Consolidating Multiple Thinking Modes to Form a Thought Tree for Strengthening LLM—0
Guidance is All You Need: Temperature-Guided Reasoning in Large Language Models—0
Reverse Thinking Makes LLMs Stronger Reasoners—0
SentiXRL: An advanced large language Model Framework for Multilingual Fine-Grained Emotion Classification in Complex Text Environment—0
Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs—0
Learning for Long-Horizon Planning via Neuro-Symbolic Abductive ImitationCode0
Meaningless is better: hashing bias-inducing words in LLM prompts improves performance in logical reasoning and statistical learning—0
HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility Evaluator—0
Object-centric proto-symbolic behavioural reasoning from pixelsCode0
Interactive Visual Assessment for Text-to-Image Generation Models—0
XAgents: A Framework for Interpretable Rule-Based Multi-Agents Cooperation—0
Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning—0
Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm—0
Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent BalderdashCode0
Symbolic-AI-Fusion Deep Learning (SAIF-DL): Encoding Knowledge into Training with Answer Set Programming Loss Penalties by a Novel Loss Function Approach—0
Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet)—0
OpenAI-o1 AB Testing: Does the o1 model really do good reasoning in math problem solving?—0
Knowledge Authoring with Factual English, Rules, and Actions—0
How Transformers Solve Propositional Logic Problems: A Mechanistic Analysis—0
Formal Logic-guided Robust Federated Learning against Poisoning Attacks—0
On Memorization of Large Language Models in Logical Reasoning—0
Leveraging LLMs for Hypothetical Deduction in Logical Inference: A Neuro-Symbolic ApproachCode0
Combining Domain-Specific Models and LLMs for Automated Disease Phenotyping from Survey Data—0
Reasoning or a Semblance of it? A Diagnostic Study of Transitive Reasoning in LLMs—0
Aligning CodeLLMs with Direct Preference Optimization—0
LLM-Aided Efficient Hardware Design Automation—0
Improving Small-Scale Large Language Models Function Calling for Reasoning Tasks—0
MedLogic-AQA: Enhancing Medical Question Answering with Abstractive Models Focusing on Logical StructuresCode0
Do Large Language Models Truly Grasp Mathematics? An Empirical Exploration From Cognitive Psychology—0
Uncovering Autoregressive LLM Knowledge of Thematic Fit in Event RepresentationCode0
From Babbling to Fluency: Evaluating the Evolution of Language Models in Terms of Human Language AcquisitionCode0
Exploiting LLMs' Reasoning Capability to Infer Implicit Concepts in Legal Information Retrieval—0
"Let's Argue Both Sides": Argument Generation Can Force Small Models to Utilize Previously Inaccessible Reasoning Capabilities—0
Transformer-based Language Models for Reasoning in the Description Logic ALCQ—0
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All datasetsLingOlyBIG-bench (Formal Fallacies Syllogisms Negation)BIG-bench (Penguins In A Table)BIG-bench (Reasoning About Colored Objects)BIG-bench (Temporal Sequences)BIG-bench (Logic Grid Puzzle)BIG-bench (StrategyQA)RuWorldTreeWinograd AutomaticBIG-bench (Logical Fallacy Detection)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Claude OpusDelta_NoContext28.8—Unverified
2GPT-4oDelta_NoContext25.1—Unverified
3Gemini 1.5 ProDelta_NoContext23.4—Unverified
4GPT-4Delta_NoContext21.5—Unverified
5Command R+Delta_NoContext11.6—Unverified
6GPT-3.5Delta_NoContext11.2—Unverified
7Mixtral 8x7BDelta_NoContext6.4—Unverified
8Llama 3 8BDelta_NoContext4.9—Unverified
9Llama 3 70BDelta_NoContext2.9—Unverified
10Gemma 7BDelta_NoContext2.2—Unverified
#ModelMetricClaimedVerifiedStatus
1PaLM 2 (few-shot, k=3, Direct)Accuracy64.8—Unverified
2PaLM 2 (few-shot, k=3, CoT)Accuracy57.2—Unverified
3OPT 66B (few-shot, k=3)Accuracy54—Unverified
4PaLM 540B (few-shot, k=3)Accuracy53.6—Unverified
5GPT-NeoX 20B (few-shot, k=3)Accuracy52.8—Unverified
6BLOOM 176B (few-shot, k=3)Accuracy52.8—Unverified
7Chinchilla-70B (few-shot, k=5)Accuracy52.1—Unverified
8Bloomberg GPT 50B (few-shot, k=3)Accuracy50.8—Unverified
9Gopher-280B (few-shot, k=5)Accuracy50.7—Unverified
#ModelMetricClaimedVerifiedStatus
1PaLM 2 (few-shot, k=3, CoT)Accuracy84.9—Unverified
2PaLM 2 (few-shot, k=3, Direct)Accuracy65.8—Unverified
3Chinchilla-70B (few-shot, k=5)Accuracy48.7—Unverified
4PaLM 540B (few-shot, k=3)Accuracy44.5—Unverified
5Gopher-280B (few-shot, k=5)Accuracy40.6—Unverified
6BLOOM 176B (few-shot, k=3)Accuracy40.41—Unverified
7Bloomberg GPT (few-shot, k=3)Accuracy37.67—Unverified
8GPT-NeoX (few-shot, k=3)Accuracy33.56—Unverified
9OPT 66B (few-shot, k=3)Accuracy28.08—Unverified
#ModelMetricClaimedVerifiedStatus
1PaLM 2 (few-shot, k=3, CoT)Accuracy91.2—Unverified
2PaLM 2 (few-shot, k=3, Direct)Accuracy61.2—Unverified
3Chinchilla-70B (few-shot, k=5)Accuracy59.7—Unverified
4Gopher-280B (few-shot, k=5)Accuracy49.2—Unverified
5PaLM 540B (few-shot, k=3)Accuracy38—Unverified
6BLOOM 176B (few-shot, k=3)Accuracy36.8—Unverified
7Bloomberg GPT (few-shot, k=3)Accuracy34.8—Unverified
8OPT 66B (few-shot, k=3)Accuracy31.2—Unverified
9GPT-NeoX (few-shot, k=3)Accuracy26—Unverified
#ModelMetricClaimedVerifiedStatus
1PaLM 2 (few-shot, k=3, CoT)Accuracy100—Unverified
2PaLM 2 (few-shot, k=3, Direct)Accuracy96.4—Unverified
3PaLM 540B (few-shot, k=3)Accuracy39.6—Unverified
4BLOOM 176B (few-shot, k=3)Accuracy36.8—Unverified
5Chinchilla-70B (few-shot, k=5)Accuracy32—Unverified
6Bloomberg GPT (few-shot, k=3)Accuracy29.2—Unverified
7OPT 66B (few-shot, k=3)Accuracy23.6—Unverified
8GPT-NeoX (few-shot, k=3)Accuracy21.2—Unverified
9Gopher-280B (few-shot, k=5)Accuracy19—Unverified
#ModelMetricClaimedVerifiedStatus
1Chinchilla-70B (few-shot, k=5)Accuracy44—Unverified
2PaLM-540B (few-shot, k=5)Accuracy42.4—Unverified
3PaLM-62B (few-shot, k=5)Accuracy36.5—Unverified
4Gopher-280B (few-shot, k=5)Accuracy35.1—Unverified
#ModelMetricClaimedVerifiedStatus
1PaLM-540B (few-shot, k=5)Accuracy73.9—Unverified
2Chinchilla-70B (few-shot, k=5)Accuracy68.3—Unverified
3PaLM-62B (few-shot, k=5)Accuracy65.4—Unverified
4Gopher-280B (few-shot, k=5)Accuracy61—Unverified
#ModelMetricClaimedVerifiedStatus
1Human benchmarkAccuracy 83.7—Unverified
2RuGPT-3 LargeAccuracy 40.7—Unverified
3RuGPT-3 MediumAccuracy 38—Unverified
4RuGPT-3 SmallAccuracy 34—Unverified
#ModelMetricClaimedVerifiedStatus
1Human benchmarkAccuracy87—Unverified
2RuGPT-3 SmallAccuracy57.9—Unverified
3RuGPT-3 MediumAccuracy57.2—Unverified
4RuGPT-3 LargeAccuracy55.5—Unverified
#ModelMetricClaimedVerifiedStatus
1Chinchilla-70B (few-shot, k=5)Accuracy72.1—Unverified
2Gopher-280B (few-shot, k=5)Accuracy58.9—Unverified