Awesome prompting

Papers

Prompt-Level Distillation: A Non-Parametric Alternative to Model Fine-Tuning for Efficient Reasoning (2026)
Sanket Badhe et al.
1.94
Steered LLM Activations are Non-Surjective (2026)
Aayush Mishra et al.
1.83
Statistical Estimation of Adversarial Risk in Large Language Models under Best-of-N Sampling (2026)
Mingqian Feng et al.
1.67
HoT: Highlighted Chain of Thought for Referencing Supporting Facts from Inputs (2025)
Tin Nguyen et al.
1.28
AgentRxiv: Towards Collaborative Autonomous Research (2025)
Samuel Schmidgall et al.
1.28
Explaining Sources of Uncertainty in Automated Fact-Checking (2025)
Jingyi Sun et al.
1.28
MMPerspective: Do MLLMs Understand Perspective? A Comprehensive Benchmark for Perspective Perception, Reasoning, and Robustness (2025)
Yunlong Tang et al.
1.28
Compressing Chain-of-Thought in LLMs via Step Entropy (2025)
Zeju Li et al.
1.28
AU-Harness: An Open-Source Toolkit for Holistic Evaluation of Audio LLMs (2025)
Sidharth Surapaneni et al.
1.28
Decomposed Attention Fusion in MLLMs for Training-Free Video Reasoning Segmentation (2025)
Su Ho Han et al.
1.28
From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence (2025)
Jian Yang et al.
1.28
ChatGPT for Robotics: Design Principles and Model Abilities (2023)
Sai Vemprala et al.
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PathFinder: Guided Search over Multi-Step Reasoning Paths (2023)
Olga Golovneva et al.
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Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations (2023)
Hakan Inan et al.
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Generative Multimodal Models are In-Context Learners (2023)
Quan Sun et al.
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BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models (2024)
Xueliang Zhao et al.
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Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation (2024)
Jirui Qi et al.
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Attention Prompting on Image for Large Vision-Language Models (2024)
Runpeng Yu et al.
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Discriminative Fine-tuning of LVLMs (2024)
Yassine Ouali et al.
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