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20242026
most citedSpeculative RAG: Enhancing Retrieval Augmented Generation through Drafting

7 citations · 12 across the 20 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

Harmony Harness: Multi-Objective Self-Evolution of Agent Harnesses

Weichen Yu, Lesly Miculicich, Bhavana Dalvi Mishra +5

Recent work on self-evolving LLM agents treats the agent harness as an optimization target that can be iteratively improved through execution feedback. Existing approaches, however…

cs.AI2026

VEPA: Verified Evolving Formal Policy for Lifelong LLM Agent Guardrails

Duy Nguyen, Lesly Miculicich, Bhavana Dalvi Mishra +5

LLM agents increasingly operate over sensitive resources, such as private documents and mutable system states, which can create serious safety and security risks. Runtime guardrail…

cs.AI2026

TFRBench: A Reasoning Benchmark for Evaluating Forecasting Systems

Md Atik Ahamed, Mihir Parmar, Palash Goyal +7

We introduce TFRBench, the first benchmark designed to evaluate the reasoning capabilities of forecasting systems. Traditionally, time-series forecasting has been evaluated solely…

cs.AI2025

ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory

Siru Ouyang, Jun Yan, I-Hung Hsu +14

With the growing adoption of large language model agents in persistent real-world roles, they naturally encounter continuous streams of tasks. A key limitation, however, is their f…

cs.AI2025★ 1 cited

PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving

Mihir Parmar, Xin Liu, Palash Goyal +11

Recent agent frameworks and inference-time algorithms often struggle with complex planning problems due to limitations in verifying generated plans or reasoning and varying complex…