23 citations · 79 across the 17 of their papers we have counts for
9 papers · 1 filter
Local Coherence or Global Validity? Investigating RLVR Traces in Math Domains
Soumya Rani Samineni, Durgesh Kalwar, Vardaan Gangal +2
Reinforcement Learning with Verifiable Rewards (RLVR)-based post-training of Large Language Models (LLMs) has been shown to improve accuracy on reasoning tasks and continues to att…
Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!
Subbarao Kambhampati, Karthik Valmeekam, Siddhant Bhambri +6
Intermediate token generation (ITG), where a model produces output before the solution, has become a standard method to improve the performance of language models on reasoning task…
Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning
Atharva Gundawar, Mudit Verma, Lin Guan +3
As the applicability of Large Language Models (LLMs) extends beyond traditional text processing tasks, there is a burgeoning interest in their potential to excel in planning and re…
On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models
Mudit Verma, Siddhant Bhambri, Subbarao Kambhampati
The reasoning abilities of Large Language Models (LLMs) remain a topic of debate. Some methods such as ReAct-based prompting, have gained popularity for claiming to enhance sequent…
LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks
Subbarao Kambhampati, Karthik Valmeekam, Lin Guan +5
There is considerable confusion about the role of Large Language Models (LLMs) in planning and reasoning tasks. On one side are over-optimistic claims that LLMs can indeed do these…
Incorporating Human Flexibility through Reward Preferences in Human-AI Teaming
Siddhant Bhambri, Mudit Verma, Upasana Biswas +2
Preference-based Reinforcement Learning (PbRL) has made significant strides in single-agent settings, but has not been studied for multi-agent frameworks. On the other hand, modeli…
Reinforcement Learning Methods for Wordle: A POMDP/Adaptive Control Approach
Siddhant Bhambri, Amrita Bhattacharjee, Dimitri Bertsekas
In this paper we address the solution of the popular Wordle puzzle, using new reinforcement learning methods, which apply more generally to adaptive control of dynamic systems and…
Multi-objective Reinforcement Learning based approach for User-Centric Power Optimization in Smart Home Environments
Saurabh Gupta, Siddhant Bhambri, Karan Dhingra +2
Smart homes require every device inside them to be connected with each other at all times, which leads to a lot of power wastage on a daily basis. As the devices inside a smart hom…
Making Smart Homes Smarter: Optimizing Energy Consumption with Human in the Loop
Mudit Verma, Siddhant Bhambri, Saurabh Gupta +1
Rapid advancements in the Internet of Things (IoT) have facilitated more efficient deployment of smart environment solutions for specific user requirement. With the increase in the…