936 citations · 2.4k across the 134 of their papers we have counts for
13 papers · 1 filter
Many LLMs Are More Utilitarian Than One
Anita Keshmirian, Razan Baltaji, Babak Hemmatian +2
Moral judgment is integral to large language models' (LLMs) social reasoning. As multi-agent systems gain prominence, it becomes crucial to understand how LLMs function when collab…
Concealment of Intent: A Game-Theoretic Analysis
Xinbo Wu, Abhishek Umrawal, Lav R. Varshney
As large language models (LLMs) grow more capable, concerns about their safe deployment have also grown. Although alignment mechanisms have been introduced to deter misuse, they re…
SwitchCIT: Switching for Continual Instruction Tuning
Xinbo Wu, Max Hartman, Vidhata Arjun Jayaraman +1
Large language models (LLMs) and multimodal models (MMs) have exhibited impressive capabilities in various domains, particularly in general language understanding and visual reason…
Transformer-based Causal Language Models Perform Clustering
Xinbo Wu, Lav R. Varshney
Even though large language models (LLMs) have demonstrated remarkable capability in solving various natural language tasks, the capability of an LLM to follow human instructions is…
Muslim-Violence Bias Persists in Debiased GPT Models
Babak Hemmatian, Razan Baltaji, Lav R. Varshney
Abid et al. (2021) showed a tendency in GPT-3 to generate mostly violent completions when prompted about Muslims, compared with other religions. Two pre-registered replication atte…
Cross-lingual Transfer in Programming Languages: An Extensive Empirical Study
Razan Baltaji, Saurabh Pujar, Louis Mandel +3
Large language models (LLMs) have achieved state-of-the-art performance in various software engineering tasks, including error detection, clone detection, and code translation, pri…