3 citations · 4 across the 7 of their papers we have counts for
7 papers
Causely: A Causal Intelligence Layer for Enterprise AI A Benchmark Study on SRE and Reliability Workflows
Dhairya Dalal, Endre Sara, Ben Yemini +2
AI agents deployed into SRE workflows currently derive their understanding of environment state from raw observability telemetry at query time, paying a semantic-interpretation tax…
Towards Semantic Integration of Opinions: Unified Opinion Concepts Ontology and Extraction Task
Gaurav Negi, Dhairya Dalal, Omnia Zayed +1
This paper introduces the Unified Opinion Concepts (UOC) ontology to integrate opinions within their semantic context. The UOC ontology bridges the gap between the semantic represe…
Mitigating Content Effects on Reasoning in Language Models through Fine-Grained Activation Steering
Marco Valentino, Geonhee Kim, Dhairya Dalal +2
Large language models (LLMs) exhibit reasoning biases, often conflating content plausibility with formal logical validity. This can lead to wrong inferences in critical domains, wh…
PEIRCE: Unifying Material and Formal Reasoning via LLM-Driven Neuro-Symbolic Refinement
Xin Quan, Marco Valentino, Danilo S. Carvalho +2
A persistent challenge in AI is the effective integration of material and formal inference - the former concerning the plausibility and contextual relevance of arguments, while the…
A Semantic Search Pipeline for Causality-driven Adhoc Information Retrieval
Dhairya Dalal, Sharmi Dev Gupta, Bentolhoda Binaei
We present a unsupervised semantic search pipeline for the Causality-driven Adhoc Information Retrieval (CAIR-2021) shared task. The CAIR shared task expands traditional informatio…
Inference to the Best Explanation in Large Language Models
Dhairya Dalal, Marco Valentino, André Freitas +1
While Large Language Models (LLMs) have found success in real-world applications, their underlying explanatory process is still poorly understood. This paper proposes IBE-Eval, a f…
Evaluating Sequence-to-Sequence Learning Models for If-Then Program Synthesis
Dhairya Dalal, Byron V. Galbraith
Implementing enterprise process automation often requires significant technical expertise and engineering effort. It would be beneficial for non-technical users to be able to descr…