LATTE coordinates LLM agent teams with an evolving shared task graph, cutting token use, time, and failures while matching or beating accuracy of MetaGPT, leader-worker, and static methods.
O’Brien, Carrie Jun Cai, Meredith Ringel Morris, Percy Liang, and Michael S
7 Pith papers cite this work. Polarity classification is still indexing.
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OCR-Memory encodes agent trajectories as images with visual anchors and retrieves verbatim text via locate-and-transcribe, yielding gains on long-horizon benchmarks under strict context limits.
LLMs organize prompted social roles along a dominant, stable, and causally steerable granularity axis in representation space that runs from micro to macro levels.
LLMs in extended security dilemma games show increased conflict with more players, unraveling in finite games, and reduced conflict with communication, providing a new way to probe IR mechanisms.
HotComment is a new multimodal benchmark that quantifies online comment popularity via content quality assessment, interaction-based prediction, and agent-simulated user engagement, accompanied by the StyleCmt stylistic model.
Eywa enables language-based agentic AI systems to collaborate with specialized scientific foundation models for improved performance on structured data tasks.
The interoceptive machine framework translates biological interoception into homeostatic, allostatic, and enactive principles that guide the design of AI systems with built-in internal-state regulation for better autonomy.
citing papers explorer
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Improving the Efficiency of Language Agent Teams with Adaptive Task Graphs
LATTE coordinates LLM agent teams with an evolving shared task graph, cutting token use, time, and failures while matching or beating accuracy of MetaGPT, leader-worker, and static methods.
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OCR-Memory: Optical Context Retrieval for Long-Horizon Agent Memory
OCR-Memory encodes agent trajectories as images with visual anchors and retrieves verbatim text via locate-and-transcribe, yielding gains on long-horizon benchmarks under strict context limits.
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The Granularity Axis: A Micro-to-Macro Latent Direction for Social Roles in Language Models
LLMs organize prompted social roles along a dominant, stable, and causally steerable granularity axis in representation space that runs from micro to macro levels.
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Multi-Agent Strategic Games with LLMs
LLMs in extended security dilemma games show increased conflict with more players, unraveling in finite games, and reduced conflict with communication, providing a new way to probe IR mechanisms.
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HotComment: A Benchmark for Evaluating Popularity of Online Comments
HotComment is a new multimodal benchmark that quantifies online comment popularity via content quality assessment, interaction-based prediction, and agent-simulated user engagement, accompanied by the StyleCmt stylistic model.
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Heterogeneous Scientific Foundation Model Collaboration
Eywa enables language-based agentic AI systems to collaborate with specialized scientific foundation models for improved performance on structured data tasks.
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Interoceptive machine framework: Toward interoception-inspired regulatory architectures in artificial intelligence
The interoceptive machine framework translates biological interoception into homeostatic, allostatic, and enactive principles that guide the design of AI systems with built-in internal-state regulation for better autonomy.