Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation
Paper
• 2310.18628 • Published
• 8
Reasoning | Planning
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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 -
Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation
Paper • 2311.04254 • Published • 15 -
Language Models can be Logical Solvers
Paper • 2311.06158 • Published • 20 -
LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers
Paper • 2310.15164 • Published • 3 -
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations
Paper • 2311.08469 • Published • 11 -
ToolTalk: Evaluating Tool-Usage in a Conversational Setting
Paper • 2311.10775 • Published • 9 -
GPQA: A Graduate-Level Google-Proof Q&A Benchmark
Paper • 2311.12022 • Published • 35 -
System 2 Attention (is something you might need too)
Paper • 2311.11829 • Published • 43 -
Memory Augmented Language Models through Mixture of Word Experts
Paper • 2311.10768 • Published • 19 -
Digital Socrates: Evaluating LLMs through explanation critiques
Paper • 2311.09613 • Published • 1 -
PathFinder: Guided Search over Multi-Step Reasoning Paths
Paper • 2312.05180 • Published • 10 -
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator
Paper • 2312.04474 • Published • 34 -
Modeling Complex Mathematical Reasoning via Large Language Model based MathAgent
Paper • 2312.08926 • Published • 9 -
K-Level Reasoning with Large Language Models
Paper • 2402.01521 • Published • 18 -
Large Language Models Are Neurosymbolic Reasoners
Paper • 2401.09334 • Published • 3 -
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)
Paper • 2401.02500 • Published • 1 -
SymbolicAI: A framework for logic-based approaches combining generative models and solvers
Paper • 2402.00854 • Published • 22 -
Transformer-Based Models Are Not Yet Perfect At Learning to Emulate Structural Recursion
Paper • 2401.12947 • Published • 4 -
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 117 -
Premise Order Matters in Reasoning with Large Language Models
Paper • 2402.08939 • Published • 28 -
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 109 -
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements
Paper • 2402.10963 • Published • 12 -
Are Your LLMs Capable of Stable Reasoning?
Paper • 2412.13147 • Published • 93 -
Compressed Chain of Thought: Efficient Reasoning Through Dense Representations
Paper • 2412.13171 • Published • 35