Spaces:
Running
Running
Update app.py
Browse files
app.py
CHANGED
@@ -89,15 +89,17 @@ training.
|
|
89 |
"""
|
90 |
|
91 |
## Introduction
|
92 |
-
|
93 |
-
|
94 |
-
|
95 |
-
|
96 |
-
|
97 |
-
|
98 |
-
|
99 |
-
|
100 |
-
|
|
|
|
|
101 |
""")
|
102 |
gr.Image("figs/frac-frame.png", label="Framework", show_label=False, elem_id="my-img")
|
103 |
gr.Image("figs/single.png", label="Framework", show_label=False, elem_id="my-img")
|
|
|
89 |
"""
|
90 |
|
91 |
## Introduction
|
92 |
+
Building upon the same core insight as **Elastic Reasoning**—that correct answers can often be derived without waiting for a full chain-of-thought (CoT)—**Fractured Sampling** shifts focus to the **sampling strategy** of reasoning.
|
93 |
+
|
94 |
+
Instead of relying on complete, uninterrupted reasoning sequences, Fractured Sampling **breaks the CoT along the temporal dimension**, exploring whether it's possible to "get the right answer without thinking all the way through."
|
95 |
+
|
96 |
+
This method introduces sampling control along three key dimensions:
|
97 |
+
|
98 |
+
- **Solution Diversity (m) — sampling multiple final outputs from a single reasoning trace.
|
99 |
+
- **Trajectory Diversity (n) — sampling multiple independent reasoning traces with different seeds (vanilla CoT sampling).
|
100 |
+
- **Reasoning Depth Diversity (H) — sampling at different intermediate stages of a single reasoning trace.
|
101 |
+
|
102 |
+
Among these, the novel **reasoning depth `H`** plays a critical role: by sampling outputs at different depths of partially completed reasoning chains, the model creates multiple sets of "fragmented thoughts + solutions," which are then jointly evaluated to select the most trustworthy outcome.
|
103 |
""")
|
104 |
gr.Image("figs/frac-frame.png", label="Framework", show_label=False, elem_id="my-img")
|
105 |
gr.Image("figs/single.png", label="Framework", show_label=False, elem_id="my-img")
|