Parameter-efficient fine-tuning for large models: A comprehensive survey
Knowledge conflicts for llms: A survey
This survey provides an in-depth analysis of knowledge conflicts for large language models
(LLMs), highlighting the complex challenges they encounter when blending contextual and …
(LLMs), highlighting the complex challenges they encounter when blending contextual and …
Gaia: a benchmark for general ai assistants
We introduce GAIA, a benchmark for General AI Assistants that, if solved, would represent a
milestone in AI research. GAIA proposes real-world questions that require a set of …
milestone in AI research. GAIA proposes real-world questions that require a set of …
Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects
Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …
Graph chain-of-thought: Augmenting large language models by reasoning on graphs
Large language models (LLMs), while exhibiting exceptional performance, suffer from
hallucinations, especially on knowledge-intensive tasks. Existing works propose to augment …
hallucinations, especially on knowledge-intensive tasks. Existing works propose to augment …
Travelplanner: A benchmark for real-world planning with language agents
Planning has been part of the core pursuit for artificial intelligence since its conception, but
earlier AI agents mostly focused on constrained settings because many of the cognitive …
earlier AI agents mostly focused on constrained settings because many of the cognitive …