Papers by Hefei Ling
EntroBench: Evaluating LLM Watermarking Under Multi-Entropy Scenarios and Practical User Operations (2026.findings-acl)
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| Challenge: | Existing evaluations of large language models (LLMs) watermarking are limited to fixed entropy settings. |
| Approach: | They propose a benchmark for LLM watermarking that systematically covers three entropy levels and seven representative tasks. |
| Outcome: | The proposed framework covers three entropy levels and seven representative tasks. |
Beyond Query Bias: Candidate-Aware Iterative Refinement for Zero-Shot Composed Image Retrieval (2026.findings-acl)
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| Challenge: | Existing methods to retrieve target images suffer from inherent cognitive bias due to unknown candidate distribution. |
| Approach: | They propose a training-free framework that reframes ZS-CIR as a self-correcting process . they propose to use retrieved results as feedback to perceive the candidate distribution . |
| Outcome: | Experiments on public benchmarks show that CoRR outperforms other SOTA methods. |