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From persona to personalization: A survey on role-playing language agents
Recent advancements in large language models (LLMs) have significantly boosted the rise
of Role-Playing Language Agents (RPLAs), ie, specialized AI systems designed to simulate …
of Role-Playing Language Agents (RPLAs), ie, specialized AI systems designed to simulate …
DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature
Recent advancements in large language models (LLMs) have achieved promising
performances across various applications. Nonetheless, the ongoing challenge of …
performances across various applications. Nonetheless, the ongoing challenge of …
Multi-modal and multi-agent systems meet rationality: A survey
Rationality is characterized by logical thinking and decision-making that align with evidence
and logical rules. This quality is essential for effective problem-solving, as it ensures that …
and logical rules. This quality is essential for effective problem-solving, as it ensures that …
A survey of conversational search
As a cornerstone of modern information access, search engines have become
indispensable in everyday life. With the rapid advancements in AI and natural language …
indispensable in everyday life. With the rapid advancements in AI and natural language …
Simple is effective: The roles of graphs and large language models in knowledge-graph-based retrieval-augmented generation
Large Language Models (LLMs) demonstrate strong reasoning abilities but face limitations
such as hallucinations and outdated knowledge. Knowledge Graph (KG)-based Retrieval …
such as hallucinations and outdated knowledge. Knowledge Graph (KG)-based Retrieval …
Unraveling cross-modality knowledge conflicts in large vision-language models
Large Vision-Language Models (LVLMs) have demonstrated impressive capabilities for
capturing and reasoning over multimodal inputs. However, these models are prone to …
capturing and reasoning over multimodal inputs. However, these models are prone to …
Kag: Boosting llms in professional domains via knowledge augmented generation
The recently developed retrieval-augmented generation (RAG) technology has enabled the
efficient construction of domain-specific applications. However, it also has limitations …
efficient construction of domain-specific applications. However, it also has limitations …
Can We Rely on LLM Agents to Draft Long-Horizon Plans? Let's Take TravelPlanner as an Example
Large language models (LLMs) have brought autonomous agents closer to artificial general
intelligence (AGI) due to their promising generalization and emergent capabilities. There is …
intelligence (AGI) due to their promising generalization and emergent capabilities. There is …
Making long-context language models better multi-hop reasoners
Recent advancements in long-context modeling have enhanced language models (LMs) for
complex tasks across multiple NLP applications. Despite this progress, we find that these …
complex tasks across multiple NLP applications. Despite this progress, we find that these …
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator
Large language models (LLMs) are proven to benefit a lot from retrieval-augmented
generation (RAG) in alleviating hallucinations confronted with knowledge-intensive …
generation (RAG) in alleviating hallucinations confronted with knowledge-intensive …