BRIEF: Bridging Retrieval and Inference for Multi-hop Reasoning via Compression

Yuankai Li, Jia-Chen Gu, Di Wu, Kai-Wei Chang, and Nanyun Peng, in NAACL-Finding, 2025.

Download the full text

Abstract

Bib Entry

@inproceedings{li2025brief,
  title = {BRIEF: Bridging Retrieval and Inference for Multi-hop Reasoning via Compression},
  author = {Li, Yuankai and Gu, Jia-Chen and Wu, Di and Chang, Kai-Wei and Peng, Nanyun},
  booktitle = {NAACL-Finding},
  year = {2025}
}

Related Publications

QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search, ICML, 2025
DRS: Deep Question Reformulation With Structured Output, ACL-Findings, 2025
V-ALPHASOCIAL: Benchmark and Self-Reflective Chain-of-Thought Generation for Visual Social Commonsense Reasoning, ACL-Findings, 2025
Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation, ACL-Findings, 2025
VISCO: Benchmarking Fine-Grained Critique and Correction Towards Self-Improvement in Visual Reasoning, CVPR, 2025
MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations, ICLR, 2025
QUDSELECT: Selective Decoding for Questions Under Discussion Parsing, EMNLP, 2024
Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue, EMNLP, 2024
LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning, EMNLP-Finding, 2024
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs, ACL, 2024
Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data, ACL-Findings, 2024
Can small language models help large language models reason better?: LM-guided chain-of-thought, LREC-COLING, 2024
IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models, EMNLP-Finding, 2023