Zobrazeno 1 - 10
of 569
pro vyhledávání: '"Singh, Munindar P"'
Argumentative stance classification plays a key role in identifying authors' viewpoints on specific topics. However, generating diverse pairs of argumentative sentences across various domains is challenging. Existing benchmarks often come from a sing
Externí odkaz:
http://arxiv.org/abs/2410.08900
This paper explores humor detection through a linguistic lens, prioritizing syntactic, semantic, and contextual features over computational methods in Natural Language Processing. We categorize features into syntactic, semantic, and contextual dimens
Externí odkaz:
http://arxiv.org/abs/2408.06335
We propose Exanna, a framework to realize agents that incorporate values in decision making. An Exannaagent considers the values of itself and others when providing rationales for its actions and evaluating the rationales provided by others. Via mult
Externí odkaz:
http://arxiv.org/abs/2408.02117
Autor:
Haque, Amanul, Singh, Munindar P.
We investigate the effectiveness of ChatGPT in extracting norms from contracts. Norms provide a natural way to engineer multiagent systems by capturing how to govern the interactions between two or more autonomous parties. We extract norms of commitm
Externí odkaz:
http://arxiv.org/abs/2404.02269
This paper introduces a novel approach, Decision Theory-guided Deep Reinforcement Learning (DT-guided DRL), to address the inherent cold start problem in DRL. By integrating decision theory principles, DT-guided DRL enhances agents' initial performan
Externí odkaz:
http://arxiv.org/abs/2402.06023
A multiagent system is a society of autonomous agents whose interactions can be regulated via social norms. In general, the norms of a society are not hardcoded but emerge from the agents' interactions. Specifically, how the agents in a society react
Externí odkaz:
http://arxiv.org/abs/2401.16461
Autor:
Xi, Ruijie, Singh, Munindar P.
There is increasing interest in building computational models of moral reasoning by people to enable effective interaction by Artificial Intelligence (AI) agents. We examine interactions on social media to understand human moral judgments in real-lif
Externí odkaz:
http://arxiv.org/abs/2310.19268
Autor:
Yuan, Jiaqing, Merler, Michele, Choudhury, Mihir, Pavuluri, Raju, Singh, Munindar P., Vukovic, Maja
Entity standardization maps noisy mentions from free-form text to standard entities in a knowledge base. The unique challenge of this task relative to other entity-related tasks is the lack of surrounding context and numerous variations in the surfac
Externí odkaz:
http://arxiv.org/abs/2306.03316
Autor:
Yuan, Jiaqing, Singh, Munindar P.
Conversations among online users sometimes derail, i.e., break down into personal attacks. Such derailment has a negative impact on the healthy growth of cyberspace communities. The ability to predict whether ongoing conversations are likely to derai
Externí odkaz:
http://arxiv.org/abs/2303.11184
Problem: We address the challenge in responsible computing where an exploitable mobile app is misused by one app user (an abuser) against another user or bystander (victim). We introduce the idea of a misuse audit of apps as a way of determining if t
Externí odkaz:
http://arxiv.org/abs/2303.10795