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Memory retrieval for dialogue summarization is more about resolving gaps than sheer volume, and ReMEMBER excels in this critical aspect.
Solar Open 2 outperforms its predecessors and competitors with a groundbreaking 1M-token context window, redefining the capabilities of large language models in agentic tasks.
Even the best LLM mediators struggle to bridge the consensus gap in realistic conflict scenarios, closing only a third of it under diverse socio-cognitive conditions.
GNN uncertainty just got a whole lot easier: QpiGNN delivers better coverage and tighter intervals without the quantile gymnastics.
RetailSim offers a unified environment to simulate the entire retail pipeline, revealing how seller-side persuasion and buyer-seller interactions impact purchase decisions.
LLM debate resolves annotation gaps in IR benchmarks, uncovering nearly 30,000 missing relevant chunks and flipping the leaderboard for retrieval systems.
