Akshara Prabhakar

Orcid: 0000-0001-6846-9153

According to our database1, Akshara Prabhakar authored at least 29 papers between 2021 and 2026.

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Timeline

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Bibliography

2026
Whisper-AuT: Domain-Adapted Audio Encoder for Efficient Audio-LLM Training.
CoRR, April, 2026

Enterprise Sales Copilot: Enabling Real-Time AI Support with Automatic Information Retrieval in Live Sales Calls.
CoRR, March, 2026

Building Enterprise Realtime Voice Agents from Scratch: A Technical Tutorial.
CoRR, March, 2026

VoiceAgentRAG: Solving the RAG Latency Bottleneck in Real-Time Voice Agents Using Dual-Agent Architectures.
CoRR, March, 2026

AudioCapBench: Quick Evaluation on Audio Captioning across Sound, Music, and Speech.
CoRR, February, 2026

CRMArena-Pro: Holistic Assessment of LLM Agents Across Diverse Business Scenarios and Interactions.
Trans. Mach. Learn. Res., 2026

2025
LoCoBench-Agent: An Interactive Benchmark for LLM Agents in Long-Context Software Engineering.
CoRR, November, 2025

Grounded Test-Time Adaptation for LLM Agents.
CoRR, November, 2025

Enterprise Deep Research: Steerable Multi-Agent Deep Research for Enterprise Analytics.
CoRR, October, 2025

xRouter: Training Cost-Aware LLMs Orchestration System via Reinforcement Learning.
CoRR, October, 2025

UserRL: Training Interactive User-Centric Agent via Reinforcement Learning.
CoRR, September, 2025

UserBench: An Interactive Gym Environment for User-Centric Agents.
CoRR, July, 2025

APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay.
CoRR, April, 2025

xLAM: A Family of Large Action Models to Empower AI Agent Systems.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

ActionStudio: A Lightweight Framework for Data and Training of Large Action Models.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
SpecTool: A Benchmark for Characterizing Errors in Tool-Use LLMs.
CoRR, 2024

Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding.
CoRR, 2024

xLAM: A Family of Large Action Models to Empower AI Agent Systems.
CoRR, 2024

Language Models as Science Tutors.
CoRR, 2024


Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Commonsense and Named Entity Aware Knowledge Grounded Dialogue Generation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Neural Language Modeling of Unstructured Clinical Notes for Automated Patient Phenotyping.
Proceedings of the 56th Annual Conference on Information Sciences and Systems, 2022

CL-NERIL: A Cross-Lingual Model for NER in Indian Languages (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
CL-NERIL: A Cross-Lingual Model for NER in Indian Languages.
CoRR, 2021

Diagnostic Code Group Prediction by Integrating Structured and Unstructured Clinical Data.
Proceedings of the Big Data Analytics - 9th International Conference, 2021


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