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Tag: Demonstrations

Demonstrations papers in the current HFEPX explorer (95 papers).

Papers in tag: 95

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Research Utility Snapshot

Evaluation Modes

  • Automatic Metrics (4)
  • Simulation Env (2)

Human Feedback Types

  • Demonstrations (20)

Required Expertise

  • General (12)
  • Coding (6)
  • Math (3)
Schema for In-Context Learning

Pan Chen, Shaohong Chen, Mark Wang, Shi Xuan Leong, Priscilla Fung, Varinia Bernales · Oct 14, 2025 · Citations: 0

Demonstrations General
  • Inspired by cognitive science, specifically schema theory, which holds that humans interpret new information by activating pre-existing mental frameworks (schemas) to structure understanding, we introduce Schema-Activated In-Context…
  • Schema-Activated In-Context Learning not only bridges disparate ICL strategies ranging from pattern priming to Chain-of-Thought prompting, but also paves a new path for enhancing human-like reasoning in LLMs.
DSPO: Stable and Efficient Policy Optimization for Agentic Search and Reasoning

Chenyang Gu, Yewen Pu, Bruce Yang, Xiaofan Li, Huan Gao · Oct 10, 2025 · Citations: 0

Demonstrations Simulation Env General
  • Current approaches either rely on prompting to elicit the model's innate agent capabilities, or suffer from performance ceilings and collapse when applying RL to complex interactive tasks, leaving their true agentic potential untapped.
  • To address this, we introduce Dynamic-filter Sequence-level Policy Optimization (DSPO), an improved RL algorithm designed for robust agent training through sequence-level optimization and dynamic sample filtering.
LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?

Jingyuan Wang, Yankai Chen, Zhonghang Li, Chao Huang · Oct 9, 2025 · Citations: 0

Demonstrations Automatic Metrics MathCoding
  • Across seven mathematical benchmarks, LightReasoner improves accuracy by up to 28.1%, while reducing time consumption by 90%, sampled problems by 80%, and tuned token usage by 99%, all without relying on ground-truth labels.
Watch and Learn: Learning to Use Computers from Online Videos

Chan Hee Song, Yiwen Song, Palash Goyal, Yu Su, Oriana Riva, Hamid Palangi · Oct 6, 2025 · Citations: 0

Demonstrations General
  • Computer-using agents (CUAs) must plan task workflows across diverse and evolving applications, yet progress is limited by the lack of large-scale, high-quality training data.
  • We present Watch & Learn (W&L), a framework that converts readily available Internet videos of human computer use into executable UI trajectories at scale.
On Discovering Algorithms for Adversarial Imitation Learning

Shashank Reddy Chirra, Jayden Teoh, Praveen Paruchuri, Pradeep Varakantham · Oct 1, 2025 · Citations: 0

Demonstrations Simulation Env Coding
  • RA functions in AIL are typically derived from divergence minimization objectives, relying heavily on human design and ingenuity.
  • Remarkably, DAIL generalises across unseen environments and policy optimization algorithms, outperforming the current state-of-the-art of \emph{human-designed} baselines.
IA2: Alignment with ICL Activations Improves Supervised Fine-Tuning

Aayush Mishra, Daniel Khashabi, Anqi Liu · Sep 26, 2025 · Citations: 0

Demonstrations Automatic Metrics General
  • Performing IA2 as a priming step before SFT significantly improves the accuracy and calibration of model outputs, as shown by our extensive empirical results on 12 popular benchmarks and two model families.
CausalARC: Abstract Reasoning with Causal World Models

Jacqueline Maasch, John Kalantari, Kia Khezeli · Sep 3, 2025 · Citations: 0

Demonstrations Math
  • As a proof-of-concept, we illustrate the use of CausalARC for four language model evaluation settings: (1) abstract reasoning with test-time training, (2) counterfactual reasoning with in-context learning, (3) program synthesis, and (4)…
LaTeXTrans: Structured LaTeX Translation with Multi-Agent Coordination

Ziming Zhu, Chenglong Wang, Haosong Xv, Shunjie Xing, Yifu Huo, Fengning Tian · Aug 26, 2025 · Citations: 0

Demonstrations Automatic Metrics MathCoding
  • In this paper, we introduce LaTeXTrans, a collaborative multi-agent system designed to address this challenge.
  • LaTeXTrans ensures format preservation, structural fidelity, and terminology consistency through six specialized agents: 1) a Parser that decomposes LaTeX into translation-friendly units via placeholder substitution and syntax filtering; 2)…
AmbiSQL: Interactive Ambiguity Detection and Resolution for Text-to-SQL

Zhongjun Ding, Yin Lin, Tianjing Zeng, Rong Zhu, Bolin Ding, Jingren Zhou · Aug 21, 2025 · Citations: 0

Demonstrations General
  • We provide 40 ambiguous queries collected from two real-world benchmarks that SIGMOD'26 attendees can use to explore how disambiguation improves SQL generation quality.
Post-training for Efficient Communication via Convention Formation

Yilun Hua, Evan Wang, Yoav Artzi · Aug 8, 2025 · Citations: 0

Demonstrations General
  • Humans communicate with increasing efficiency in multi-turn interactions, by adapting their language and forming ad-hoc conventions.
  • We evaluate with two new benchmarks focused on this capability.
Programming by Backprop: An Instruction is Worth 100 Examples When Finetuning LLMs

Jonathan Cook, Silvia Sapora, Arash Ahmadian, Akbir Khan, Tim Rocktaschel, Jakob Foerster · Jun 23, 2025 · Citations: 0

Demonstrations Coding
  • Though execution of instructions in training data remains less reliable than when instructions are given in-context, our results demonstrate that procedural knowledge can be noisily `programmed' into LLMs through PBB, with important…
MOBODY: Model Based Off-Dynamics Offline Reinforcement Learning

Yihong Guo, Yu Yang, Pan Xu, Anqi Liu · Jun 10, 2025 · Citations: 0

Demonstrations General
  • We evaluate MOBODY on a wide range of MuJoCo and Adroit benchmarks, demonstrating that it outperforms state-of-the-art off-dynamics RL baselines as well as policy learning methods based on different dynamics learning baselines, with…