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20242026
most citedLIDDIA: Language-based Intelligent Drug Discovery Agent

4 citations · 5 across the 4 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

ChemExplain: A Multimodal Benchmark for Explanatory Chemical Reasoning

Aotian Chen, Frazier N. Baker, Reza Averly +5

Current chemistry benchmarks primarily evaluate outcome prediction or reaction pathway generation, but rarely test whether a model can explain why an observed chemical effect occur…

cs.AI2026

MADDIE: Multi-Agent Drug Discovery Engine

Ye Liu, Reza Averly, Avery Meyer +4

Drug discovery remains a resource-intensive and time-consuming process, involving billions of dollars and a decade of development to advance a drug to market. While many in silico…

cs.AI2026

FREA: A Multi-Source Expert Benchmark for Reaction Feasibility Verification

Botao Yu, Bo Zhou, Daniel Adu-Ampratwum +7

As generative models and AI agents propose chemical reactions at a scale beyond expert review, feasibility verifiers decide which proposals enter synthesis planning. But do their d…

cs.AI2026

MMORF: A Multi-agent Framework for Designing Multi-objective Retrosynthesis Planning Systems

Frazier N. Baker, Trieu Nguyen, Reza Averly +4

Multi-objective retrosynthesis planning is a critical chemistry task requiring dynamic balancing of quality, safety, and cost objectives. Language model-based multi-agent systems (…

cs.CL2026

Uncertainty as a Planning Signal: Multi-Turn Decision Making for Goal-Oriented Conversation

Xinyi Ling, Ye Liu, Reza Averly +1

Goal-oriented conversational systems require making sequential decisions under uncertainty about the user's intent, where the algorithm must balance information acquisition and tar…