1 citations · 1 across the 3 of their papers we have counts for
4 papers
More Memory, Worse Agents: Error Reproduction and Anti-Persistence in LLM Agents
Ruhan Wang, Kishan Panaganti, Dongruo Zhou
LLM agents can improve across tasks without updating model parameters by storing experience from their own executions in external memory and reusing it to guide later decisions. A…
Noise or Nuance: An Investigation Into Useful Information and Filtering For LLM Driven AKBC
Alex Clay, Ernesto Jiménez-Ruiz, Pranava Madhyastha
RAG and fine-tuning are prevalent strategies for improving the quality of LLM outputs. However, in constrained situations, such as that of the 2025 LM-KBC challenge, such technique…
Information for Conversation Generation: Proposals Utilising Knowledge Graphs
Alex Clay, Ernesto Jiménez-Ruiz
LLMs are frequently used tools for conversational generation. Without additional information LLMs can generate lower quality responses due to lacking relevant content and hallucina…
Cognitively Inspired Components for Social Conversational Agents
Alex Clay, Eduardo Alonso, Esther Mondragón
Current conversational agents (CA) have seen improvement in conversational quality in recent years due to the influence of large language models (LLMs) like GPT3. However, two key…