1 citations · 3 across the 18 of their papers we have counts for
10 papers · 1 filter
Reflective Prompt Optimization of a Deep-Research Agent: A Topic-Disjoint, Multi-Seed Protocol for Measuring Transferable Gains and Prompt-Level Overfitting
Elias Lumer, Sahil Sen, Vamse Kumar Subbiah +1
Prompt optimization is an attractive alternative to reinforcement learning for adapting language-model agents, since it is cheap and produces human-readable artifacts. On factual t…
The Bitter Lesson of Tool Calling
Ishan Patel, Sahil Sen, Elias Lumer +1
Tool use transforms LLMs into agents that act beyond their training data, and for code-capable models, programmatic tool calling extends this further by replacing rigid JSON calls…
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…
Recursive Agent Harnesses
Elias Lumer, Sahil Sen, Kevin Paul +1
Recursive language models (RLMs) showed that recursion over model calls is an effective strategy for long-context reasoning, and production coding agents have begun to write code t…
Is Grep All You Need? How Agent Harnesses Reshape Agentic Search
Sahil Sen, Akhil Kasturi, Elias Lumer +2
Recent advances in Large Language Model (LLM) agents have enabled complex agentic workflows where models autonomously retrieve information, call tools, and reason over large corpor…
Ask Early, Ask Late, Ask Right: When Does Clarification Timing Matter for Long-Horizon Agents?
Anmol Gulati, Hariom Gupta, Elias Lumer +2
Long-horizon AI agents execute complex workflows spanning hundreds of sequential actions, yet a single wrong assumption early on can cascade into irreversible errors. When instruct…
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…
Agentic Jackal: Live Execution and Semantic Value Grounding for Text-to-JQL
Vishnu Murali, Anmol Gulati, Elias Lumer +3
Translating natural language into Jira Query Language (JQL) requires resolving ambiguous field references, instance-specific categorical values, and complex Boolean predicates. Sin…
Chronos: Temporal-Aware Conversational Agents with Structured Event Retrieval for Long-Term Memory
Sahil Sen, Elias Lumer, Anmol Gulati +1
Recent advances in Large Language Models (LLMs) have enabled conversational AI agents to engage in extended multi-turn interactions spanning weeks or months. However, existing memo…
Don't Break the Cache: An Evaluation of Prompt Caching for Long-Horizon Agentic Tasks
Elias Lumer, Faheem Nizar, Akshaya Jangiti +4
Recent advancements in Large Language Model (LLM) agents have enabled complex multi-turn agentic tasks requiring extensive tool calling, where conversations can span dozens of API…