Multi-hop Question Answering
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Benchmarks
ConcurrentQA
MuSiQue-Ans
Most implemented
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
Repurposing Entailment for Multi-Hop Question Answering Tasks
End-to-End Beam Retrieval for Multi-Hop Question Answering
MuSiQue: Multihop Questions via Single-hop Question Composition
Multi-hop Question Answering via Reasoning Chains
Papers
LiteRAG: Cost-Efficient Graph-Based Retrieval-Augmented Generation
Graph-based retrieval can improve multi-hop question answering, but existing approaches often incur high query-time costs and produce diffuse, oversized contexts that reduce generation efficiency. We present LiteRAG, a g…
Multi-hop Question AnsweringHi-Q: Hierarchical Evidence-guided Query Refinement for Multi-Hop Question Answering
A central bottleneck in multi-hop Question Answering (QA) is that the granularity at which a question is expressed often differs from the granularity at which corpus evidence is retrievable. Existing methods address this…
Multi-hop Question AnsweringBrailleBench: Investigating Multi-Criteria Braille Comprehension in Large Language Models
Although Large language models (LLMs) mediate access to knowledge and computational assistance, their capabilities should benefit vulnerable groups in the same way. However, it is unclear whether existing AI systems are …
Multi-hop Question AnsweringLivingRAG: Augmenting Graph RAG with Experience
Graph-based RAG improves multi-hop question answering by organizing evidence as a knowledge graph. However, most existing RAG systems process each query in isolation and discard useful reasoning from the LLM's response a…
Multi-hop Question AnsweringAnswer GenerationBetter Decomposition, Free Aggregation: A Synthesizer-Folding Framework for Multilingual Multi-Hop Question Answering
Multilingual retrieval-augmented generation (mRAG) equips large language models with access to globally distributed external knowledge for complex multilingual question answering. Recent approaches either translate retri…
Multi-hop Question AnsweringCoinRAG: Contextualized Information Nugget KV Cache Reuse for Long-Context RAG
Recent optimization studies on Retrieval-Augmented Generation (RAG) have exploited chunk-level KV cache reuse to avoid processing long retrieved contexts for higher efficiency, while significant information redundancy an…
Multi-hop Question Answering