127 citations · 174 across the 25 of their papers we have counts for
5 papers · 1 filter
Swarm Telepathy: Prefill-Free KV-Cache Transfer Across Families
Abdulrahman Alabdulkareem, Irene Tenison, Yang Zhang +3
LLM multi-agent systems split work across agents that communicate through text. An agent summarizes its findings, another agent receives the text. This constrains communication to…
The Sparsity Whisperer
Linghao Kong, Inimai Subramanian, Micah Adler +3
Pruning reduces the inference cost of large language models, but existing criteria primarily preserve large activations or reconstruct layer outputs. We argue that this overlooks a…
LLMON: An LLM-native Markup Language to Leverage Structure and Semantics at the LLM Interface
Michael Hind, Basel Shbita, Bo Wu +5
Textual Large Language Models (LLMs) provide a simple and familiar interface: a string of text is used for both input and output. However, the information conveyed to an LLM often…
How Much Reasoning Do Retrieval-Augmented Models Add beyond LLMs? A Benchmarking Framework for Multi-Hop Inference over Hybrid Knowledge
Junhong Lin, Bing Zhang, Song Wang +4
Large language models (LLMs) continue to struggle with knowledge-intensive questions that require up-to-date information and multi-hop reasoning. Augmenting LLMs with hybrid extern…
BOAD: Discovering Hierarchical Software Engineering Agents via Bandit Optimization
Iris Xu, Guangtao Zeng, Zexue He +5
Large language models (LLMs) have shown strong reasoning and coding capabilities, yet they struggle to generalize to real-world software engineering (SWE) problems that are long-ho…