lm-sys / lm-sys/FastChat

When bge is deployed on fastchat and the input parameter is a list, the results of the same string in the two lists are inconsistent

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Python
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Description

Fastchat deployed on bge, input parameter is a list, such as list1 = [" aaa ", "bbb", "ccc"], list2 = ["hhh"," aaa ", "ddd", "eee"]. The same string "aaa" in the two lists has inconsistent results after vectorization. What is the reason for this?Can you help me solve this problem?

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First steps

  1. Read the whole issue, then the project's contributing guide.
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  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reproducing the reported FastChat-on-bge behavior with the two list inputs and compare the vectorization results for "aaa". Trace the bge deployment's list-input handling to determine why identical strings differ, then verify that repeated inputs produce consistent results.

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Assessment

Tech stack
python
Domain
machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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