Seou Choi, Sachin Vaidya, Caio Silva, Shiekh Zia Uddin, Sajib Biswas Shuvo, Shrish Choudhary · Mar 23, 2026 · Citations: 0
Demonstrations General
← Back to explorer A Framework for Closed-Loop Robotic Assembly, Alignment and Self-Recovery of Precision Optical Systems AgentHER: Hindsight Experience Replay for LLM Agent Trajectory Relabeling Meanings and Measurements: Multi-Agent Probabilistic Grounding for Vision-Language Navigation Hindsight-Anchored Policy Optimization: Turning Failure into Feedback in Sparse Reward Settings Reason and Verify: A Framework for Faithful Retrieval-Augmented Generation COLD-Steer: Steering Large Language Models via In-Context One-step Learning Dynamics RoboPocket: Improve Robot Policies Instantly with Your Phone TimeWarp: Evaluating Web Agents by Revisiting the Past Dual-Modality Multi-Stage Adversarial Safety Training: Robustifying Multimodal Web Agents Against Cross-Modal Attacks IROSA: Interactive Robot Skill Adaptation using Natural Language Farther the Shift, Sparser the Representation: Analyzing OOD Mechanisms in LLMs Let the Agent Search: Autonomous Exploration Beats Rigid Workflows in Temporal Question Answering Optimizing In-Context Demonstrations for LLM-based Automated Grading ArgLLM-App: An Interactive System for Argumentative Reasoning with Large Language Models IDP Accelerator: Agentic Document Intelligence from Extraction to Compliance Validation Risk-Aware World Model Predictive Control for Generalizable End-to-End Autonomous Driving Fine-Tuning Without Forgetting In-Context Learning: A Theoretical Analysis of Linear Attention Models AuditBench: Evaluating Alignment Auditing Techniques on Models with Hidden Behaviors FewMMBench: A Benchmark for Multimodal Few-Shot Learning Explore-on-Graph: Incentivizing Autonomous Exploration of Large Language Models on Knowledge Graphs with Path-refined Reward Modeling
Tag: Demonstrations
Demonstrations papers in the current HFEPX explorer (108 papers).
Papers in tag: 108
Running a Demonstrations study?
Post a Job →Research Utility Snapshot
Evaluation Modes
- Simulation Env (3)
- Automatic Metrics (2)
- Human Eval (1)
Human Feedback Types
- Demonstrations (20)
- Pairwise Preference (1)
- Rubric Rating (1)
Required Expertise
- General (14)
- Coding (4)
- Law (1)
Liang Ding · Mar 22, 2026 · Citations: 0
Demonstrations Human EvalLlm As Judge General
- LLM agents fail on the majority of real-world tasks -- GPT-4o succeeds on fewer than 15% of WebArena navigation tasks and below 55% pass@1 on ToolBench (Zhou et al., 2024; Qin et al., 2024) -- yet every failed trajectory is routinely…
- We introduce AgentHER, a framework that recovers this lost training signal by adapting the Hindsight Experience Replay (HER; Andrychowicz et al., 2017) principle to natural-language agent trajectories for offline data augmentation.
Swagat Padhan, Lakshya Jain, Bhavya Minesh Shah, Omkar Patil, Thao Nguyen, Nakul Gopalan · Mar 19, 2026 · Citations: 0
Demonstrations Simulation Env General
- To address this limitation, we propose MAPG (Multi-Agent Probabilistic Grounding), an agentic framework that decomposes language queries into structured subcomponents and queries a VLM to ground each component.
- We evaluate MAPG on the HM-EQA benchmark and show consistent performance improvements over strong baselines.
Yuning Wu, Ke Wang, Devin Chen, Kai Wei · Mar 11, 2026 · Citations: 0
Demonstrations General
Eeham Khan, Luis Rodriguez, Marc Queudot · Mar 10, 2026 · Citations: 0
Demonstrations Automatic Metrics Medicine
- We evaluate this framework on the BioASQ and PubMedQA benchmarks, specifically analyzing the impact of dynamic in-context learning and rerank- ing under constrained token budgets.
- Additionally, we perform a pilot study combining human expert assessment with LLM-based verification to explore how explicit rationale generation improves system transparency and enables more detailed diagnosis of retrieval failures in…
Kartik Sharma, Rakshit S. Trivedi · Mar 6, 2026 · Citations: 0
Pairwise PreferenceDemonstrations General
- Experiments across a variety of steering tasks and benchmarks demonstrate that COLD-Steer achieves upto 95% steering effectiveness while using 50 times fewer samples compared to the best baseline.
- Our framework opens new possibilities for adaptive, context-aware model control that can flexibly address varying loss-driven human preferences through principled approximation of learning dynamics rather than specialized training…
Junjie Fang, Wendi Chen, Han Xue, Fangyuan Zhou, Tian Le, Yi Wang · Mar 5, 2026 · Citations: 0
Demonstrations Law
Md Farhan Ishmam, Kenneth Marino · Mar 5, 2026 · Citations: 0
Demonstrations General
- The improvement of web agents on current benchmarks raises the question: Do today's agents perform just as well when the web changes?
- We introduce TimeWarp, a benchmark that emulates the evolving web using containerized environments that vary in UI, design, and layout.
Haoyu Liu, Dingcheng Li, Lukas Rutishauser, Zeyu Zheng · Mar 4, 2026 · Citations: 0
Demonstrations Simulation Env Coding
- Multimodal web agents that process both screenshots and accessibility trees are increasingly deployed to interact with web interfaces, yet their dual-stream architecture opens an underexplored attack surface: an adversary who injects…
- Motivated by this finding, we propose Dual-Modality Multi-Stage Adversarial Safety Training (DMAST), a framework that formalizes the agent-attacker interaction as a two-player general-sum Markov game and co-trains both players through a…
Markus Knauer, Samuel Bustamante, Thomas Eiband, Alin Albu-Schäffer, Freek Stulp, João Silvério · Mar 4, 2026 · Citations: 0
Demonstrations General
- We demonstrate the framework on a 7-DoF torque-controlled robot performing an industrial bearing ring insertion task, showing successful skill adaptation through natural language commands for speed adjustment, trajectory correction, and…
Mingyu Jin, Yutong Yin, Jingcheng Niu, Qingcheng Zeng, Wujiang Xu, Mengnan Du · Mar 3, 2026 · Citations: 0
Demonstrations Coding
Xufei Lv, Jiahui Yang, Haoyuan Sun, Xialin Su, Zhiliang Tian, Yifu Gao · Mar 2, 2026 · Citations: 0
Demonstrations Coding
- Based on this insight, we propose AT2QA, an Autonomous and Training-free Agent for TKG Question Answering.
- Experiments on three challenging benchmarks -- MultiTQ, Timeline-CronQuestion, and Timeline-ICEWS-Actor -- show that AT2QA achieves new state-of-the-art performance, surpassing the strongest baselines by 10.7, 4.9, and 11.2 absolute points,…
Yucheng Chu, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Kevin Haudek, Joseph Krajcik · Feb 28, 2026 · Citations: 0
Rubric RatingDemonstrations General
- GUIDE paves the way for trusted, scalable assessment systems that align closely with human pedagogical standards.
Adam Dejl, Deniz Gorur, Francesca Toni · Feb 27, 2026 · Citations: 0
Demonstrations General
- Argumentative LLMs (ArgLLMs) are an existing approach leveraging Large Language Models (LLMs) and computational argumentation for decision-making, with the aim of making the resulting decisions faithfully explainable to and contestable by…
- Here we propose a web-based system implementing ArgLLM-empowered agents for binary tasks.
Md Mofijul Islam, Md Sirajus Salekin, Joe King, Priyashree Roy, Vamsi Thilak Gudi, Spencer Romo · Feb 26, 2026 · Citations: 0
Demonstrations Automatic Metrics Coding
- We present IDP (Intelligent Document Processing) Accelerator, a framework enabling agentic AI for end-to-end document intelligence with four key components: (1) DocSplit, a novel benchmark dataset and multimodal classifier using BIO tagging…
Jiangxin Sun, Feng Xue, Teng Long, Chang Liu, Jian-Fang Hu, Wei-Shi Zheng · Feb 26, 2026 · Citations: 0
Demonstrations General
- Practically, RaWMPC leverages a world model to predict the consequences of multiple candidate actions and selects low-risk actions through explicit risk evaluation.
- Furthermore, to generate low-risk candidate actions at test time, we introduce a self-evaluation distillation method to distill riskavoidance capabilities from the well-trained world model into a generative action proposal network without…
Chungpa Lee, Jy-yong Sohn, Kangwook Lee · Feb 26, 2026 · Citations: 0
Demonstrations General
Abhay Sheshadri, Aidan Ewart, Kai Fronsdal, Isha Gupta, Samuel R. Bowman, Sara Price · Feb 26, 2026 · Citations: 0
Demonstrations General
- We introduce AuditBench, an alignment auditing benchmark.
- To demonstrate AuditBench's utility, we develop an investigator agent that autonomously employs a configurable set of auditing tools.
Mustafa Dogan, Ilker Kesen, Iacer Calixto, Aykut Erdem, Erkut Erdem · Feb 25, 2026 · Citations: 0
Demonstrations General
- In this paper, we introduce FewMMBench, a comprehensive benchmark designed to evaluate MLLMs under few-shot conditions, with a focus on In-Context Learning (ICL) and Chain-of-Thought (CoT) prompting.
Shiqi Yan, Yubo Chen, Ruiqi Zhou, Zhengxi Yao, Shuai Chen, Tianyi Zhang · Feb 25, 2026 · Citations: 0
Demonstrations General
- Extensive experiments on five KGQA benchmark datasets demonstrate that, to the best of our knowledge, our method achieves state-of-the-art performance, outperforming not only open-source but also even closed-source LLMs.