19 citations · 56 across the 24 of their papers we have counts for
4 papers · 1 filter
STABLEVAL: Disagreement-Aware and Stable Evaluation of AI Systems
Akash Bonagiri, Gerard Janno Anderias, Saee Patil +6
Human evaluation remains the primary standard for assessing modern AI systems, yet annotator disagreement, bias, and variability make system rankings fragile under standard majorit…
CausalFlow: Causal Attribution and Counterfactual Repair for LLM Agent Failures
Akash Bonagiri, Devang Borkar, Gerard Janno Anderias +2
Large language model (LLM) agents frequently fail on multi-step tasks involving reasoning, tool use, and environment interaction. While such failures are typically logged or retrie…
A Comprehensive Study of Implicit and Explicit Biases in Large Language Models
Fatima Kazi, Alex Young, Yash Inani +1
Large Language Models (LLMs) inherit explicit and implicit biases from their training datasets. Identifying and mitigating biases in LLMs is crucial to ensure fair outputs, as they…
Deep Multi-attributed Graph Translation with Node-Edge Co-evolution
Xiaojie Guo, Liang Zhao, Cameron Nowzari +3
Generalized from image and language translation, graph translation aims to generate a graph in the target domain by conditioning an input graph in the source domain. This promising…