Papers by Junbo Huang
Revisiting Supervised Contrastive Learning for Microblog Classification (2024.emnlp-main)
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| Challenge: | Existing models for microblog classification use pre-training language models (LMs) however, pre-trained LMs are resource-intensive and not suitable for small labs. |
| Approach: | They propose to fine-tune transformer-based language models with a SCL loss for English microblog classification by comparing two benchmarks. |
| Outcome: | The proposed method has a performance gain of up to 11.9 percentage points across all subtasks. |
FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents (2024.findings-emnlp)
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| Challenge: | LLM-based agents are susceptible to undesired planning hallucinations when lacking specific knowledge for expertise-intensive tasks. |
| Approach: | They propose a benchmark to evaluate the efficacy of workflow-guided agent planning by formalizing different formats of workflow knowledge. |
| Outcome: | The proposed benchmark aims to improve the planning reliability of LLM-based agents by incorporating external workflow-related knowledge. |