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20242026
most citedLarge Language Models in Mental Health Care: a Scoping Review

37 citations · 52 across the 17 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.CL2026

Last Translation Benchmark

Vilém Zouhar, Niyati Bafna, Mukund Choudhary +263

For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, stan…

cs.AI2026

StagedWorkspace: A Versioned Workspace for Knowledge-Work Agents

Yining Hua, Hongbin Na, Yifan Zhou +3

AI agents increasingly perform knowledge work (i.e., produce and modify persistent digital artifacts such as code repositories, documents, spreadsheets, slides, reports), yet the p…

cs.AI2026

LLMs for Medical Consultation Are Evaluated Too Late: The Preformulation Gap

Yining Hua, Cyrus Ayubcha, Hongbin Na +4

Large language models for medical consultation are often evaluated after a clinical problem has already been made clear, although real consultations may begin with a vague, minimiz…

cs.AI2026

CARE-Bench: Benchmarking Patient-Facing LLM Triage

Yining Hua, Hongbin Na, Cyrus Ayubcha

Patient-facing medical LLMs and agents increasingly answer symptom questions before clinician contact, where the key safety question is what action the user should take next. We in…

cs.CL2026

Overview of the PsyDefDetect Shared Task at BioNLP 2026: Detecting Levels of Psychological Defense Mechanisms in Supportive Conversations

Hongbin Na, Zimu Wang, Zhaoming Chen +8

We present an overview of PsyDefDetect, the shared task on detecting levels of psychological defense mechanisms in emotional support dialogues, co-located with BioNLP@ACL 2026. Gro…

cs.AI2026

Designing Benchmarks for Knowledge Work

Yining Hua, Hongbin Na, Cyrus Ayubcha +1

AI agents are moving quickly from answering isolated questions toward completing work through tools, software environments, and multi-step workflows. Much of what these systems are…