:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Ruochen, Jing, Liqiang, Han, Chi, Zhou, Jiawei, Du, Xinya
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2412.14626
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MLR-Copilot: Autonomous Machine Learning Research based on Large Language Models Agents
by: Li, Ruochen, et al.
Published: (2024)

Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents
by: Li, Long, et al.
Published: (2024)

PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations
by: Li, Ruosen, et al.
Published: (2023)

DSBench: How Far Are Data Science Agents from Becoming Data Science Experts?
by: Jing, Liqiang, et al.
Published: (2024)

AI Idea Bench 2025: AI Research Idea Generation Benchmark
by: Qiu, Yansheng, et al.
Published: (2025)

FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback
by: Jing, Liqiang, et al.
Published: (2024)

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation
by: Sun, Jiashuo, et al.
Published: (2025)

Is Grokking Worthwhile? Functional Analysis and Transferability of Generalization Circuits in Transformers
by: He, Kaiyu, et al.
Published: (2026)

Graphs of Research: Citation Evolution Graphs as Supervision for Research Idea Generation
by: Gao, Songyang, et al.
Published: (2026)

IdeaBench: Benchmarking Large Language Models for Research Idea Generation
by: Guo, Sikun, et al.
Published: (2024)

GoAI: Enhancing AI Students' Learning Paths and Idea Generation via Graph of AI Ideas
by: Gao, Xian, et al.
Published: (2025)

Logical Reasoning over Natural Language as Knowledge Representation: A Survey
by: Yang, Zonglin, et al.
Published: (2023)

Large Language Models for Automated Open-domain Scientific Hypotheses Discovery
by: Yang, Zonglin, et al.
Published: (2023)

Search Wisely: Mitigating Sub-optimal Agentic Searches By Reducing Uncertainty
by: Wu, Peilin, et al.
Published: (2025)

Is this Idea Novel? An Automated Benchmark for Judgment of Research Ideas
by: Schopf, Tim, et al.
Published: (2026)

GEAR: A General Evaluation Framework for Abductive Reasoning
by: He, Kaiyu, et al.
Published: (2025)

HiPRAG: Hierarchical Process Rewards for Efficient Agentic Retrieval Augmented Generation
by: Wu, Peilin, et al.
Published: (2025)

Computation Mechanism Behind LLM Position Generalization
by: Han, Chi, et al.
Published: (2025)

Language Models as Inductive Reasoners
by: Yang, Zonglin, et al.
Published: (2022)

AMARIS: A Memory-Augmented Rubric Improvement System for Rubric-Based Reinforcement Learning
by: Wu, Peilin, et al.
Published: (2026)

ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models
by: Baek, Jinheon, et al.
Published: (2024)

HindSight: Evaluating LLM-Generated Research Ideas via Future Impact
by: Jiang, Bo
Published: (2026)

Good Idea or Not, Representation of LLM Could Tell
by: Xu, Yi, et al.
Published: (2024)

How AI Ideas Affect the Creativity, Diversity, and Evolution of Human Ideas: Evidence From a Large, Dynamic Experiment
by: Ashkinaze, Joshua, et al.
Published: (2024)

Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of LLM Generated Ideas
by: Hu, Xiang, et al.
Published: (2024)

TextGames: Learning to Self-Play Text-Based Puzzle Games via Language Model Reasoning
by: Hudi, Frederikus, et al.
Published: (2025)

PropRAG: Guiding Retrieval with Beam Search over Proposition Paths
by: Wang, Jingjin, et al.
Published: (2025)

ScholarEval: Research Idea Evaluation Grounded in Literature
by: Moussa, Hanane Nour, et al.
Published: (2025)

Enhancing Emotional Generation Capability of Large Language Models via Emotional Chain-of-Thought
by: Li, Zaijing, et al.
Published: (2024)

Evaluating LLMs' Divergent Thinking Capabilities for Scientific Idea Generation with Minimal Context
by: Ruan, Kai, et al.
Published: (2024)

IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering
by: Li, Ruosen, et al.
Published: (2024)

Structure-R1: Dynamically Leveraging Structural Knowledge in LLM Reasoning through Reinforcement Learning
by: Wu, Junlin, et al.
Published: (2025)

Chunk-Distilled Language Modeling
by: Li, Yanhong, et al.
Published: (2024)

Text or Pixels? It Takes Half: On the Token Efficiency of Visual Text Inputs in Multimodal LLMs
by: Li, Yanhong, et al.
Published: (2025)

Dynamic Evaluation of Large Language Models by Meta Probing Agents
by: Zhu, Kaijie, et al.
Published: (2024)

Do Retrieval-Augmented Language Models Adapt to Varying User Needs?
by: Wu, Peilin, et al.
Published: (2025)

AgREE: Agentic Reasoning for Knowledge Graph Completion on Emerging Entities
by: Zhao, Ruochen, et al.
Published: (2025)

TaSR-RAG: Taxonomy-guided Structured Reasoning for Retrieval-Augmented Generation
by: Sun, Jiashuo, et al.
Published: (2026)

Pipeline Parallelism is All You Need for Optimized Early-Exit Based Self-Speculative Decoding
by: Li, Ruanjun, et al.
Published: (2025)

GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models
by: Jiang, Pengcheng, et al.
Published: (2024)