4 citations · 4 across the 7 of their papers we have counts for
7 papers
Running the Gauntlet: Hard Agentic Tasks
Mykola Vysotskyi, Runqi Lin, Grzegorz Biziel +21
As agentic systems continue to evolve and are widely deployed in real-world scenarios, there is a growing demand to faithfully evaluate their capabilities. However, current benchma…
Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections
Łukasz Borchmann, Jordy Van Landeghem, Michał Turski +12
Multimodal agents offer a promising path to automating complex document-intensive workflows. Yet, a critical question remains: do these agents demonstrate genuine strategic reasoni…
Evaluating AI-based Scientific Knowledge Synthesis with Epidemiological Systematic Reviews
Shreyansh Padarha, Ryan Othniel Kearns, Tristan Naidoo +13
Systematic literature reviews (SLRs) are a demanding and high-stakes form of scientific knowledge synthesis that remains underspecified as an evaluation setting for large language…
Agentic Reinforcement Learning for Search Misaligns Instruction-Tuning
Yushi Yang, Shreyansh Padarha, Sarah Ball +2
Agentic reinforcement learning (RL) trains large language models to use tools, but its impact on alignment is poorly understood. We study how agentic RL for search affects the alig…
Enhancing Reasoning Capabilities in SLMs with Reward Guided Dataset Distillation
Shreyansh Padarha
The push to compress and impart the proficiency of Large Language Models (LLMs) into more deployable and efficient Small Language Models (SLMs) has benefited from improvements in k…
Party Ideologies and Political Polarization-Driven Conflicts: A Study of the Global South
Shreyansh Padarha
Post-World War II armed conflicts have often been viewed with higher scrutiny in order to avoid a full-scale global war. This scrutiny has led to the establishment of determinants…
Data-Driven Dystopia: an uninterrupted breach of ethics
Shreyansh Padarha
This article discusses the risks and complexities associated with the exponential rise in data and the misuse of data by large corporations. The article presents instances of data…