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A Fully Spectral Neuro-Symbolic Reasoning Architecture with Graph Signal Processing as the Computational Backbone
Paper • 2508.14923 • Published • 1 -
A DbC Inspired Neurosymbolic Layer for Trustworthy Agent Design
Paper • 2508.03665 • Published • 1 -
Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact
Paper • 2507.00951 • Published • 23 -
HyDRA: A Hybrid-Driven Reasoning Architecture for Verifiable Knowledge Graphs
Paper • 2507.15917 • Published
Collections
Discover the best community collections!
Collections including paper arxiv:2402.00854
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 31 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 22 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 69
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Language Models can be Logical Solvers
Paper • 2311.06158 • Published • 20 -
SymbolicAI: A framework for logic-based approaches combining generative models and solvers
Paper • 2402.00854 • Published • 22 -
Grandmaster-Level Chess Without Search
Paper • 2402.04494 • Published • 69 -
Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping
Paper • 2402.14083 • Published • 47
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Learning Universal Predictors
Paper • 2401.14953 • Published • 22 -
Anything in Any Scene: Photorealistic Video Object Insertion
Paper • 2401.17509 • Published • 17 -
SymbolicAI: A framework for logic-based approaches combining generative models and solvers
Paper • 2402.00854 • Published • 22 -
StrokeNUWA: Tokenizing Strokes for Vector Graphic Synthesis
Paper • 2401.17093 • Published • 20
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Beyond Surface: Probing LLaMA Across Scales and Layers
Paper • 2312.04333 • Published • 19 -
SymbolicAI: A framework for logic-based approaches combining generative models and solvers
Paper • 2402.00854 • Published • 22 -
TravelPlanner: A Benchmark for Real-World Planning with Language Agents
Paper • 2402.01622 • Published • 37 -
Do Large Language Models Latently Perform Multi-Hop Reasoning?
Paper • 2402.16837 • Published • 28
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Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation
Paper • 2310.18628 • Published • 8 -
TeacherLM: Teaching to Fish Rather Than Giving the Fish, Language Modeling Likewise
Paper • 2310.19019 • Published • 9 -
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs
Paper • 2311.02262 • Published • 14 -
Thread of Thought Unraveling Chaotic Contexts
Paper • 2311.08734 • Published • 7
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A Fully Spectral Neuro-Symbolic Reasoning Architecture with Graph Signal Processing as the Computational Backbone
Paper • 2508.14923 • Published • 1 -
A DbC Inspired Neurosymbolic Layer for Trustworthy Agent Design
Paper • 2508.03665 • Published • 1 -
Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact
Paper • 2507.00951 • Published • 23 -
HyDRA: A Hybrid-Driven Reasoning Architecture for Verifiable Knowledge Graphs
Paper • 2507.15917 • Published
-
Learning Universal Predictors
Paper • 2401.14953 • Published • 22 -
Anything in Any Scene: Photorealistic Video Object Insertion
Paper • 2401.17509 • Published • 17 -
SymbolicAI: A framework for logic-based approaches combining generative models and solvers
Paper • 2402.00854 • Published • 22 -
StrokeNUWA: Tokenizing Strokes for Vector Graphic Synthesis
Paper • 2401.17093 • Published • 20
-
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 31 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 22 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 69
-
Beyond Surface: Probing LLaMA Across Scales and Layers
Paper • 2312.04333 • Published • 19 -
SymbolicAI: A framework for logic-based approaches combining generative models and solvers
Paper • 2402.00854 • Published • 22 -
TravelPlanner: A Benchmark for Real-World Planning with Language Agents
Paper • 2402.01622 • Published • 37 -
Do Large Language Models Latently Perform Multi-Hop Reasoning?
Paper • 2402.16837 • Published • 28
-
Language Models can be Logical Solvers
Paper • 2311.06158 • Published • 20 -
SymbolicAI: A framework for logic-based approaches combining generative models and solvers
Paper • 2402.00854 • Published • 22 -
Grandmaster-Level Chess Without Search
Paper • 2402.04494 • Published • 69 -
Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping
Paper • 2402.14083 • Published • 47
-
Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation
Paper • 2310.18628 • Published • 8 -
TeacherLM: Teaching to Fish Rather Than Giving the Fish, Language Modeling Likewise
Paper • 2310.19019 • Published • 9 -
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs
Paper • 2311.02262 • Published • 14 -
Thread of Thought Unraveling Chaotic Contexts
Paper • 2311.08734 • Published • 7