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Abhinav Gupta

ACL 2026×2社会与人本对齐与偏好理论与学习动力学推理可解释性
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一作贡献30
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合作网络6
1 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #2/5ACL 2026Findings· Findings of ACL

Can Large Language Models Infer Human Actions and Motives? Evaluation in Social Prediction and Inspection Games

Kaleen Shrestha · Abhinav Gupta · Harish Dukkipati · Zhonghao Shi · Maja Mataric

摘要

Humans are able to predict each other’s actions by reasoning about the others’ underlying goals, preferences, and motives, such as greed and risk-aversion. Game theory provides a framework for studying human behaviors through incentivized games that simulate social situations. We utilized two val...

社会与人本对齐与偏好理论与学习动力学OpenReview 项目页
一作ACL 2026Findings· Findings of ACL

Words that make SENSE : Sensorimotor Norms in Learned Lexical Token Representations

Abhinav Gupta · Toben Mintz · Jesse Thomason

摘要

While word embeddings derive meaning from co-occurrence patterns, human language understanding is grounded in sensory and motor experience. We present \mathit{SENSE} ( \textbf{S} ensorimotor \textbf{E} mbedding \textbf{N} orm \textbf{S} coring \textbf{E} ngine), a learned projection model that pr...

推理可解释性社会与人本OpenReview 项目页

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