Papers by Huijun Tang
What Tokens Truly Matter? The Logit Conflation Problem in LLM Sampling (2026.findings-acl)
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| Challenge: | Existing methods for large language models filter tokens based on logit magnitudes or derived statistics, under the implicit assumption that high-logit tokens are desirable. |
| Approach: | They propose to isolate the Logit Conflation Problem by using attention-weighted attribution to extract prompt-relevance from token logits. |
| Outcome: | The proposed method improves on LLaMA-3 and is training-free and low latency. |