HR-Agent: A Task-Oriented Dialogue (TOD) LLM Agent Tailored for HR Applications
On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks
Abstract (arXiv)
Recent LLM (Large Language Models) advancements benefit many fields such as education and finance, but HR has hundreds of repetitive processes, such as access requests, medical claim filing and time-off submissions, which are unaddressed. We relate these tasks to the LLM agent, which has addressed tasks such as writing assisting and customer support. We present HR-Agent, an efficient, confidential, and HR-specific LLM-based task-oriented dialogue system tailored for automating repetitive HR processes such as medical claims and access requests. Since conversation data is not sent to an LLM during inference, it preserves confidentiality required in HR-related tasks.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use. Builds on 22 of its 34 references that are in the map. First posted on arXiv 15 Oct 2024.
Builds on
22 of 34 references.
Closest ancestors · 2
Same direction, newest first
- 2024HR-MultiWOZ: A Task Oriented Dialogue (TOD) Dataset for HR LLM Agent1 Feb
- 2024Application of LLM Agents in Recruitment: A Novel Framework for Resume Screening16 Jan
Other references · 20
- 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
- 2022Self-Instruct: Aligning Language Models with Self-Generated Instructionscited by 2,674
- 2020DeBERTa: Decoding-enhanced BERT with Disentangled Attentioncited by 2,157
- 2018MultiWOZ -- A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modellingcited by 760
- 2019Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Datasetcited by 426
- 2024Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Surveycited by 157
- 2021Dialogue State Tracking with a Language Model using Schema-Driven Promptingcited by 94
- 2023Guiding Large Language Models via Directional Stimulus Promptingcited by 94
- 2019Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Trackingcited by 75
- 2021Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue State Trackingcited by 61
- 2021Zero-Shot Dialogue State Tracking via Cross-Task Transfercited by 52
- 2020A Sequence-to-Sequence Approach to Dialogue State Trackingcited by 43
8 more
- 2023SGP-TOD: Building Task Bots Effortlessly via Schema-Guided LLM Promptingcited by 39
- 2021SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue Systemscited by 34
- 2021Amendable Generation for Dialogue State Trackingcited by 21
- 2021Effective Sequence-to-Sequence Dialogue State Trackingcited by 20
- 2023vONTSS: vMF based semi-supervised neural topic modeling with optimal transportcited by 16
- 2023DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLMcited by 16
- 2020Fine-Tuning BERT for Schema-Guided Zero-Shot Dialogue State Trackingcited by 11
- 2023Approximate, Adapt, Anonymize (3A): a Framework for Privacy Preserving Training Data Release for Machine Learningcited by 5
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