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Verifiable Social Reasoning for LLM Assistants

Paper recorded by Signals 4 on 2026-09-15 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-15 on arXiv · recorded by Signals 4 on 2026-09-16

Category: cs.AI · 人工智能 · first seen 2026-09-16

Abstract

LLM assistants are widely used for daily social advice, yet evaluating their social reasoning in such consultation settings remains challenging since (i) it requires setups where the assistant learns about social situations from subjective user narratives, and (ii) social properties, such as others' intentions, typically lack verifiable ground truth. To address these challenges, we introduce Fuse,

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#47 most recent of 300 cs.AI papers we have recorded · ↑ newer: ENCP: Episode-Normalized Conformal Prediction for Vision-and-Language · ↓ older: LimiX-2: A Contextual Mechanism Network Towards General Structured-Dat
Cite this page: Verifiable Social Reasoning for LLM Assistants: the #47 most recent of 300 cs.AI papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/verifiable-social-reasoning-for-llm-assistants.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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