1 citations · 2 across the 9 of their papers we have counts for
10 papers
GlobeBench: Evaluating Text-Based World Model Capabilities for Scalable Environment Simulations
Nicholas Saban, Charvi Bannur, Mariya Vasileva +1
Text-based world models have recently shown potential to simulate complex RL environment state transitions for a diverse set of use cases. However, no standardized benchmark exists…
FigmaTrace: Capturing Creative Nuances in Human Figma Design Workflows
Darshan Deshpande, Yoshinari Fujinuma, Martyna Markiewicz +5
Vision Language Models have recently shown improvements in several objective and verifiable domains such as object detection but continue to underperform on subjective and creative…
Masked Diffusion Language Models are Strong and Steerable Text-Based World Models for Agentic RL
Darshan Deshpande
Recent growth in reinforcement learning (RL) has surfaced a need for diverse, specialized training environments. Hand-curated environments with fixed task and reward difficulties b…
DETOUR: An Interactive Benchmark for Dual-Agent Search and Reasoning
Li Siyan, Darshan Deshpande, Anand Kannappan +1
When recalling information in conversation, people often arrive at the recollection after multiple turns. However, existing benchmarks for evaluating agent capabilities in such tip…
Benchmarking Reward Hack Detection in Code Environments via Contrastive Analysis
Darshan Deshpande, Anand Kannappan, Rebecca Qian
Recent advances in reinforcement learning for code generation have made robust environments essential to prevent reward hacking. As LLMs increasingly serve as evaluators in code-ba…
MEMTRACK: Evaluating Long-Term Memory and State Tracking in Multi-Platform Dynamic Agent Environments
Darshan Deshpande, Varun Gangal, Hersh Mehta +3
Recent works on context and memory benchmarking have primarily focused on conversational instances but the need for evaluating memory in dynamic enterprise environments is crucial…
TRAIL: Trace Reasoning and Agentic Issue Localization
Darshan Deshpande, Varun Gangal, Hersh Mehta +3
The increasing adoption of agentic workflows across diverse domains brings a critical need to scalably and systematically evaluate the complex traces these systems generate. Curren…
Browsing Lost Unformed Recollections: A Benchmark for Tip-of-the-Tongue Search and Reasoning
Sky CH-Wang, Darshan Deshpande, Smaranda Muresan +2
We introduce Browsing Lost Unformed Recollections, a tip-of-the-tongue known-item search and reasoning benchmark for general AI assistants. BLUR introduces a set of 573 real-world…
GLIDER: Grading LLM Interactions and Decisions using Explainable Ranking
Darshan Deshpande, Selvan Sunitha Ravi, Sky CH-Wang +3
The LLM-as-judge paradigm is increasingly being adopted for automated evaluation of model outputs. While LLM judges have shown promise on constrained evaluation tasks, closed sourc…
GNOME: Generating Negotiations through Open-Domain Mapping of Exchanges
Darshan Deshpande, Shambhavi Sinha, Anirudh Ravi Kumar +2
Language Models have previously shown strong negotiation capabilities in closed domains where the negotiation strategy prediction scope is constrained to a specific setup. In this…