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Four Formalizable Theories of the Firm
Four Formalizable Theories of the Firm

This paper by Robert Gibbons explores four fundamental theories of the firm, aiming to clarify their core tenets, distinctions, and potential for int…

1 year, 5 months ago

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Efficient Tool Use with Chain-of-Abstraction Reasoning
Efficient Tool Use with Chain-of-Abstraction Reasoning

arXiv:2401.17464Efficient Tool Use with Chain-of-Abstraction Reasoning
Silin Gao, Jane Dwivedi-Yu, Ping Yu, Xiaoqing Ellen Tan, Ramakanth Pasunuru, Ol…

1 year, 5 months ago

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CodeTool: Process Supervision for Enhanced LLM Tool Invocation
CodeTool: Process Supervision for Enhanced LLM Tool Invocation

We discuss CodeTool, a novel framework that enhances how large language models utilize external tools by generating and supervising code execution st…

1 year, 5 months ago

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Evaluating LLM Agents in Multi-Turn Conversations: A Survey
Evaluating LLM Agents in Multi-Turn Conversations: A Survey

This survey systematically investigates how to evaluate large language model-based agents designed for multi-turn conversations. The authors reviewed…

1 year, 5 months ago

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Epistemic Alignment in User-LLM Knowledge Delivery
Epistemic Alignment in User-LLM Knowledge Delivery

This paper explores the epistemic alignment problem in user interactions with Large Language Models (LLMs), highlighting the mismatch between user kn…

1 year, 5 months ago

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MCP is (not) all you need
MCP is (not) all you need

We discuss Model Context Protocol (MCP), positioning it as a standardized, open-source protocol championed by Anthropic to unify how large language m…

1 year, 5 months ago

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AI, Human Skills, and Competitive Advantage in Chess
AI, Human Skills, and Competitive Advantage in Chess

We investigate how artificial intelligence (AI) impacts competitive advantage, employing a resource-based view. Through a study of chess tournaments …

1 year, 5 months ago

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Inference-Time Scaling for Generalist Reward Modeling
Inference-Time Scaling for Generalist Reward Modeling

This paper explores how to improve the effectiveness of reward modeling (RM) for large language models (LLMs) by utilizing more computational resourc…

1 year, 5 months ago

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Optimal Pure Exploration in Linear Bandits via Sampling
Optimal Pure Exploration in Linear Bandits via Sampling


This research addresses the challenge of efficient exploration in linear bandit problems, aiming to identify the optimal action with minimal measurem…

1 year, 5 months ago

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Presidential Address: The Economist as Designer in the Innovation Process for Socially Impactful Digital Products
Presidential Address: The Economist as Designer in the Innovation Process for Socially Impactful Digital Products

Susan Athey's presidential address examines the expanding role of economists as designers in the data-driven innovation process for digital products,…

1 year, 5 months ago

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