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README.md

@@ -23,7 +23,7 @@ REVERSE-Qwen2.5-VL-3B is a novel open-source vision-language model (VLM) that pe
 REVERSE achieves **state-of-the-art hallucination reduction** across diverse captioning and open-ended visual question answering benchmarks. To ensure the apple-to-apple comparison, we fine-tune the released Qwen2.5-VL-3B model using both the LLaVA-FT setup and our REVERSE recipe, applying both on the same 100k subset. This allows us to directly compare the impact of our method against the LLaVA-FT baseline under consistent conditions as the Qwen2.5-VL's instruction tuning data is not publicly available.
 
 | Benchmark    | Metric                        | Qwen2.5-VL-FT    | REVERSE (τ=0.01) | 
-| ------------ | ----------------------------- | ---------------- | ----------------- | ------------------ |
+| ------------ | ----------------------------- | ---------------- | ----------------- | 
 | CHAIR-MSCOCO | CHAIRi (↓)                    | 12.2    | **10.5**                |
 |              | CHAIRs (↓)                    | 45.8       | **39.4**              | 
 | AMBER-G      | CHAIR (↓)                     | 7.7        | **7.5**               |