Tool learning with large language models: A survey
Recently, tool learning with large language models (LLMs) has emerged as a promising
paradigm for augmenting the capabilities of LLMs to tackle highly complex problems …
paradigm for augmenting the capabilities of LLMs to tackle highly complex problems …
The llama 3 herd of models
Modern artificial intelligence (AI) systems are powered by foundation models. This paper
presents a new set of foundation models, called Llama 3. It is a herd of language models …
presents a new set of foundation models, called Llama 3. It is a herd of language models …
SEAL: Suite for Evaluating API-use of LLMs
W Kim, A Jagmohan, A Vempaty - arxiv preprint arxiv:2409.15523, 2024 - arxiv.org
Large language models (LLMs) have limitations in handling tasks that require real-time
access to external APIs. While several benchmarks like ToolBench and APIGen have been …
access to external APIs. While several benchmarks like ToolBench and APIGen have been …
ToolComp: A Multi-Tool Reasoning & Process Supervision Benchmark
Despite recent advances in AI, the development of systems capable of executing complex,
multi-step reasoning tasks involving multiple tools remains a significant challenge. Current …
multi-step reasoning tasks involving multiple tools remains a significant challenge. Current …
[PDF][PDF] Recommender Systems in the Era of Large Language Model Agents: A Survey
Recommender Systems in the Era of Large Language Model Agents: A Survey Page 1
Recommender Systems in the Era of Large Language Model Agents: A Survey XI ZHU∗ …
Recommender Systems in the Era of Large Language Model Agents: A Survey XI ZHU∗ …
InfCycle: Learning to Use Tools via Inference Compute and Cycle Consistency
J Li, W Wang, Y Chen, M Zhang - openreview.net
The scaling of inference-time computation in large language models (LLMs) has emerged
as a promising approach for enhancing reasoning capabilities by trading off inference-time …
as a promising approach for enhancing reasoning capabilities by trading off inference-time …