Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
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 …
Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation Puzzles
Q Chen, B Zhang, G Wang, Q Wu - arxiv preprint arxiv:2410.06733, 2024 - arxiv.org
While advancements in NLP have significantly improved the performance of Large
Language Models (LLMs) on tasks requiring vertical thinking, their lateral thinking …
Language Models (LLMs) on tasks requiring vertical thinking, their lateral thinking …
CITI: Enhancing Tool Utilizing Ability in Large Language Models without Sacrificing General Performance
Tool learning enables the Large Language Models (LLMs) to interact with the external
environment by invoking tools, enriching the accuracy and capability scope of LLMs …
environment by invoking tools, enriching the accuracy and capability scope of LLMs …
StepTool: A Step-grained Reinforcement Learning Framework for Tool Learning in LLMs
Despite having powerful reasoning and inference capabilities, Large Language Models
(LLMs) still need external tools to acquire real-time information retrieval or domain-specific …
(LLMs) still need external tools to acquire real-time information retrieval or domain-specific …
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 …