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From the 1 of 11 linked papers with an AI index.

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11 papers

cs.RO2026

PACE: Persona Adaptation through Conversational Elicitation in Human-Robot Interaction

Peizhen Li, Longbing Cao, Megani Rajendran +3

Equipping humanoid robots with coherent and adaptable personas is crucial for fostering natural, engaging, and trustworthy human-robot interaction (HRI). However, existing approach…

cs.AI2026

NVAITC AI Scientist: A Governed End-to-End Research System -- A Hypertension GWAS Case Study

Eddie Huang, Ken Liao, Iven Fu +14

The paper introduces NVAITC AI Scientist (NAIS), a governed end‑to‑end AI agent that plans, executes, and oversees biomedical research workflows while keeping protected data within…

cs.LG2026

RSPC: A Benchmark for Modeling Stress and Psychiatric Conditions in Digitally Mediated Relationships using Psychiatrist Annotations

Parmitha Vangapandu, Sai Ganesh Mokkapati, Sathwik Narkedimilli +4

In NLP, mental health conditions are often modeled as isolated phenomena, without interpersonal context. We use Reddit posts about long-distance relationships to capture both menta…

cs.LG2026

FORGE: Fused On-Register Gradient Elimination for Memory-Efficient LLM Training

Dikshant Kukreja, Kritarth Prasad, Avinash Anand +6

Reverse-mode differentiation computes every weight gradient, writes it to memory, and only then lets the optimizer read it back. This two-phase schedule sets the memory ceiling of…

cs.CL2026

IRIS: Interleaved Reinforcement with Incremental Staged Curriculum for Cross-Lingual Mathematical Reasoning

Navya Gupta, Rishitej Reddy Vyalla, Avinash Anand +8

Curriculum learning helps language models tackle complex reasoning by gradually increasing task difficulty. However, it often fails to generate consistent step-by-step reasoning, e…

cs.SD2026

DAST: A Dual-Stream Voice Anonymization Attacker with Staged Training

Ridwan Arefeen, Xiaoxiao Miao, Rong Tong +3

Voice anonymization masks vocal traits while preserving linguistic content, which may still leak speaker-specific patterns. To assess and strengthen privacy evaluation, we propose…