1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CL2026
Do You Need a Frontier Model as a Citation Verifier? Benchmarking Rubric LLMs for Deep-Research Source Attribution
Ethan Leung, Elias Lumer, Corey Feld +3
Reinforcement learning increasingly relies on an LLM judge to score each rubric criterion, and that judge acts as the reward model during training. Before such a signal can be trus…
cs.CL2026★ 1 cited
Cited but Not Verified: Parsing and Evaluating Source Attribution in LLM Deep Research Agents
Hailey Onweller, Elias Lumer, Austin Huber +3
Large language models (LLMs) power deep research agents that synthesize information from hundreds of web sources into cited reports, yet these citations cannot be reliably verified…
cs.CL2024
Toolshed: Scale Tool-Equipped Agents with Advanced RAG-Tool Fusion and Tool Knowledge Bases
Elias Lumer, Vamse Kumar Subbiah, James A. Burke +2
Recent advancements in tool-equipped Agents (LLMs) have enabled complex tasks like secure database interactions and multi-agent code development. However, scaling tool capacity bey…