mlsanityData to 14 Oct 2026

An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing

arXiv 2403.16854 ↗First posted 25 Mar 2024cs.CL cs.AIcited by 8

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Abstract (arXiv)

We present Expert-Token-Routing, a unified generalist framework that facilitates seamless integration of multiple expert LLMs. Our framework represents expert LLMs as special expert tokens within the vocabulary of a meta LLM. The meta LLM can route to an expert LLM like generating new tokens. Expert-Token-Routing not only supports learning the implicit expertise of expert LLMs from existing instruction dataset but also allows for dynamic extension of new expert LLMs in a plug-and-play manner. It also conceals the detailed collaboration process from the user's perspective, facilitating interaction as though it were a singular LLM. Our framework outperforms various existing multi-LLM collaboration paradigms across benchmarks that incorporate six diverse expert domains, demonstrating effectiveness and robustness in building generalist LLM system via synergizing multiple expert LLMs.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 20 of its 25 references that are in the map. First posted on arXiv 25 Mar 2024.

Builds on

20 of 25 references.

References · 20

  1. 2024DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Modelscited by 9,379
  2. 2020Measuring Massive Multitask Language Understandingcited by 7,963
  3. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,512
  4. 2021Prefix-Tuning: Optimizing Continuous Prompts for Generationcited by 3,915
  5. 2021The Power of Scale for Parameter-Efficient Prompt Tuningcited by 3,795
  6. 2023Code Llama: Open Foundation Models for Codecited by 2,139
  7. 2023Improving Factuality and Reasoning in Language Models through Multiagent Debatecited by 1,784
  8. 2023CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Societycited by 1,395
  9. 2024DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligencecited by 1,181
  10. 2023Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLscited by 688
  11. 2023LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusioncited by 564
  12. 2023A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaborationcited by 290
8 more
  1. 2023Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaborationcited by 251
  2. 2023ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddingscited by 240
  3. 2023ExpertPrompting: Instructing Large Language Models to be Distinguished Expertscited by 142
  4. 2024Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffoldingcited by 117
  5. 2024LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wildcited by 68
  6. 2023DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuningcited by 64
  7. 2023π-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolationcited by 40
  8. 2023Unnatural language processing: How do language models handle machine-generated prompts?cited by 8

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 3; 2025: 2; 2026: 3.

8 papers.