11 citations · 20 across the 8 of their papers we have counts for
3 papers · 1 filter
KiranaBench: Can a Language Model Run a Neighbourhood Shop?
Bhuvan Arora, Ankita Karmakar, Chaitanya Jain +10
Large language model (LLM) agents are increasingly evaluated on long-horizon tasks, including autonomously running a business. Existing benchmarks for this setting are almost exclu…
The Rise of Verbal Reinforcement Learning
Kshitij Tayal, Arun Sharma, Genta Indra Winata +2
Natural language is emerging as a primary feedback channel for improving language agents, capable of conveying intent, preferences, and causal structure in forms interpretable by b…
T1-Bench: Benchmarking Multi-Scenario Agents in Real-World Domains
Genta Indra Winata, Amartya Chakraborty, Yuzhen Lin +12
Recent advances in reasoning and tool-calling capabilities of large language models (LLMs) have enabled increasingly capable agentic systems. However, existing benchmarks remain li…