Order Matters: Investigate the Position Bias in Multi-constraint Instruction Following
Paper • 2502.17204 • Published
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Provide a formula for computing the nth term in the given sequence 5, 14, 23, 32, 41, ... | [
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Item 7 is Marble
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We will be doing a memory exercise, I will tell you several things and then ask you about them later.
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We will be doing a memory exercise, I will tell you several things and then ask you about them later.
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Item 3 is Yellow
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Item 5 is Moose
Item 6 is Wand
Item 7 is Marble
Item 8 is Hula Dancer | [
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We will be doing a memory exercise, I will tell you several things and then ask you about them later.
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Item 3 is Yellow
Item 4 is Green
Item 5 is Moose
Item 6 is Wand
Item 7 is Marble
Item 8 is Hula Dancer | [
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We will be doing a memory exercise, I will tell you several things and then ask you about them later.
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Item 6 is Wand
Item 7 is Marble
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We will be doing a memory exercise, I will tell you several things and then ask you about them later.
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Item 2 is Fork
Item 3 is Yellow
Item 4 is Green
Item 5 is Moose
Item 6 is Wand
Item 7 is Marble
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We will be doing a memory exercise, I will tell you several things and then ask you about them later.
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Item 2 is Fork
Item 3 is Yellow
Item 4 is Green
Item 5 is Moose
Item 6 is Wand
Item 7 is Marble
Item 8 is Hula Dancer | [
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We will be doing a memory exercise, I will tell you several things and then ask you about them later.
Item 1 is Potato
Item 2 is Fork
Item 3 is Yellow
Item 4 is Green
Item 5 is Moose
Item 6 is Wand
Item 7 is Marble
Item 8 is Hula Dancer | [
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We will be doing a memory exercise, I will tell you several things and then ask you about them later.
Item 1 is Potato
Item 2 is Fork
Item 3 is Yellow
Item 4 is Green
Item 5 is Moose
Item 6 is Wand
Item 7 is Marble
Item 8 is Hula Dancer | [
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We will be doing a memory exercise, I will tell you several things and then ask you about them later.
Item 1 is Potato
Item 2 is Fork
Item 3 is Yellow
Item 4 is Green
Item 5 is Moose
Item 6 is Wand
Item 7 is Marble
Item 8 is Hula Dancer | [
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Official implementation of the paper "Order Matters: Investigate the Position Bias in Multi-constraint Instruction Following".
Code: https://github.com/meowpass/PBIF
We systematically study the position bias problem in multi-constraint instruction following. Through our experiments, we have the following findings:
- LLMs prefer to "hard-to-easy" constraint order
- existing LLMs can achieve a better following accuracy in multi-constraint instructions when presented with constraints in “hard-to-easy” orders.
- This finding can be generalized in both single-round and multi-round scenarios, regardless of the architecture of LLM, the size of LLM’s parameters and the number of constraints.
- Constraints order affect how the LLMs handle a specific constraint
- The "Hard-to-easy" constraint order induces the LLM to pay more attention to the constraint part in the multi-constraint instructions.
- The LLM’s performance on various constraints is strongly correlated with its attention patterns.
PBIF Dataset
The dataset consists of single_round inference data and multi_round inference data. For each of the data, there are 5 fields:
prompt: Synthesized multi-constraint instructions.constraint: The constraints contained in the instructions.instruction_id_list: The id of the constraints in the instructions.kwargs: Corresponding parameters for the constraints, which are only used for evaluation.ranking: The constraint order of the instruction. (0 indicates the hardest constraint) It is worth noting that, in multi_round inference data, thepromptis the initial instruction, which is more convenient for the user to construct the multi-round dialog data for themselves.
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