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NeurIPS 2026OracleInsitro, USAMulti-agent LLM systems

Risk-Calibrated Context Selection for Healthcare Multi-Agent Handoff

Manu Agrawal, Sumit Mukherjee

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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lenient 1/5
medium 0/10
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45%Niche pick
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NeurIPS 2026OralPohang University of Science andPOSTECHOracleWeb & GUI agents

Proactive Instance Navigation with Comparative Judgment for Ambiguous User Queries

Junhyuk Kwon, Seungjoon Lee, Hyejin Park, Kyle Min and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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NeurIPS 2026Qualcomm Inc, QualCommKoreaOracleSeoul National University GooglRL for LLMs

Merging RLVR-Trained Experts via Policy-Shift-Guided Spectral Alignment

Geeho Kim, MINSIK CHOI, Kyle Min, Young Geun Kim and 1 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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83%Must read
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NeurIPS 2026YonseiSeoul NationalOracleVision-language models

Same Concept, Different Directions: Cross-Modal Feature Heterogeneity in Sparse Autoencoders

Cross-modal sparse autoencoders exhibit feature heterogeneity where shared concepts activate different latents across image and text modalities, and training modality-specific autoencoders with post-hoc alignment improves reconstruction, retrieval, and steering.

Chungpa Lee, Jihoon Kwon, Kyle Min, Jy-yong Sohn

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5