Answer Probing-Guided Search for Diverse Solution Exploration of LLMs

arXiv:2608.30345 · cs.AI · Submitted 2026-08-31 · Read on arXiv

cs.AI

Submitted: 2026-08-31

Updated: 2026-08-31

Comments: Accepted to the EMNLP 2026 Main

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Embeddings — 23× in this paper · explained in 2 episodes
• Accuracy — 8× in this paper · explained in 1 episode
• Clustering — 5× in this paper · explained in 2 episodes
• Cosine Similarity — 5× in this paper · explained in 3 episodes
• Perplexity — 5× in this paper · explained in 3 episodes
• alpha — 5× in this paper · explained in 1 episode
• Benchmark — 4× in this paper · explained in 2 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Steering — 4× in this paper · explained in 2 episodes
• Homogeneity — 3× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 3× in this paper · explained in 6 episodes
• Semantic Similarity — 3× in this paper · explained in 2 episodes
• Answer Probing-Guided Tree Search — 2× in this paper
• Benchmarking — 2× in this paper · explained in 3 episodes
• Credit assignment — 2× in this paper · explained in 3 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Activation Steering — 1× in this paper · explained in 4 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Computational overhead — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• GRPO — 1× in this paper · explained in 6 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• LLM judge — 1× in this paper · explained in 2 episodes
• Mode Collapse — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Benchmarking LLMs for Unit Test Generation from Real-World Functions
• A Simple, Fast Diverse Decoding Algorithm for Neural Generation
• Diversity of Thought Improves Reasoning Abilities of LLMs
• Outcome-based Exploration for LLM Reasoning
• Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

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