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Agentic information retrieval
What will information entry look like in the next generation of digital products? Since the
1970s, user access to relevant information has relied on domain-specific architectures of …
1970s, user access to relevant information has relied on domain-specific architectures of …
Multi-llm-agent systems: Techniques and business perspectives
In the era of (multi-modal) large language models, most operational processes can be
reformulated and reproduced using LLM agents. The LLM agents can perceive, control, and …
reformulated and reproduced using LLM agents. The LLM agents can perceive, control, and …
Hammerbench: Fine-grained function-calling evaluation in real mobile device scenarios
J Wang, J Zhou, M Wen, X Mo, H Zhang, Q Lin… - arxiv preprint arxiv …, 2024 - arxiv.org
Evaluating the capabilities of large language models (LLMs) in human-LLM interactions
remains challenging due to the inherent complexity and openness of dialogue processes …
remains challenging due to the inherent complexity and openness of dialogue processes …
Boosting Tool Use of Large Language Models via Iterative Reinforced Fine-Tuning
Augmenting large language models (LLMs) with external tools is a promising approach to
enhance their capabilities. Effectively leveraging this potential for complex tasks hinges …
enhance their capabilities. Effectively leveraging this potential for complex tasks hinges …
ACEBench: Who Wins the Match Point in Tool Learning?
Large language models (LLMs) have demonstrated significant potential in decision-making
and reasoning, especially when combined with various tools to effectively solve complex …
and reasoning, especially when combined with various tools to effectively solve complex …
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond
S Han - arxiv preprint arxiv:2410.18114, 2024 - arxiv.org
The advancements in generative AI inevitably raise concerns about their risks and safety
implications, which, in return, catalyzes significant progress in AI safety. However, as this …
implications, which, in return, catalyzes significant progress in AI safety. However, as this …