Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering | Paper Citation Record

Observation bc4bc04f-7518-4d2d-a5ce-10012ac96f42 · outbound

This paper cites Free- base: a collaboratively created graph database for structuring human knowledge,.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Free- base: a collaboratively created graph database for structuring human knowledge,

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This paper cites Wikidata: a free collaborative knowl- edgebase,.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Wikidata: a free collaborative knowl- edgebase,

Reference 2

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This paper cites Dbpedia: A nucleus for a web of open data,.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Dbpedia: A nucleus for a web of open data,

Reference 3

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This paper cites Complex knowledge base question answering: A survey,.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Complex knowledge base question answering: A survey,

Reference 4

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This paper cites Hello gpt-4o,.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Hello gpt-4o,

Reference 5

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This paper cites Introducing chatgpt,.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Introducing chatgpt,

Reference 6

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This paper cites Qwen2.5 Technical Report.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Qwen2.5 Technical Report

Reference 7

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This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Chain-of-thought prompting elicits reasoning in large language models,

Reference 8

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This paper cites Tree of thoughts: Deliberate problem solving with large language models,.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Tree of thoughts: Deliberate problem solving with large language models,

Reference 9

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This paper cites Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs

Reference 10

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This paper cites Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

Reference 11

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This paper cites Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs

Reference 12

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Observation 6506dc7a-2cfa-4c6a-a64d-8c11a16b839d · outbound

This paper cites Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph

Reference 13

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This paper cites Graph Retrieval-Augmented Generation: A Survey.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Graph Retrieval-Augmented Generation: A Survey

Reference 14

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This paper cites Large-scale semantic parsing without question-answer pairs,.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Large-scale semantic parsing without question-answer pairs,

Reference 15

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Observation c7bc306a-1386-4b46-a21b-d898bedfa8c4 · outbound

This paper cites StructGPT: A General Framework for Large Language Model to Reason over Structured Data.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering StructGPT: A General Framework for Large Language Model to Reason over Structured Data

Reference 16

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This paper cites RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering

Reference 17

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This paper cites ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question Answering.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question Answering

Reference 18

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This paper cites Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings

Reference 19

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This paper cites Neural-based mixture probabilistic query embedding for answering fol queries on knowledge graphs,.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Neural-based mixture probabilistic query embedding for answering fol queries on knowledge graphs,

Reference 20

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Observation a9f14bca-ac6e-46d1-a768-b77158ad03de · outbound

This paper cites Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering

Reference 21

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This paper cites Improving multi-hop knowledge base question answering by learning intermediate supervision signals,.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Improving multi-hop knowledge base question answering by learning intermediate supervision signals,

Reference 22

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Observation d31b81d0-9132-4dd1-b1fb-18434e98ec10 · outbound

This paper cites PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text

Reference 23

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This paper cites GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 24

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This paper cites Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning

Reference 25

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This paper cites EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering

Reference 26

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Observation 207f6f9a-e1b8-4451-a16f-698d3d4bab4a · outbound

This paper cites UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph

Reference 27

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This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 28

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This paper cites Tree of thoughts: Deliberate problem solving with large language models,.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Tree of thoughts: Deliberate problem solving with large language models,

Reference 29

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This paper cites React: Synergizing reasoning and acting in language models,.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering React: Synergizing reasoning and acting in language models,

Reference 30

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This paper cites Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning

Reference 31

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This paper cites Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers

Reference 32

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This paper cites LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning

Reference 33

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This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 34

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This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 35

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This paper cites ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 36

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This paper cites Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Reference 37

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Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Mastering the game of go with deep neural networks and tree search,

Reference 38

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This paper cites Mastering atari, go, chess and shogi by planning with a learned model,.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Mastering atari, go, chess and shogi by planning with a learned model,

Reference 39

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This paper cites Bandit based monte-carlo planning,.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Bandit based monte-carlo planning,

Reference 40

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This paper cites Learning entity and relation embeddings for knowledge graph completion,.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Learning entity and relation embeddings for knowledge graph completion,

Reference 41

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This paper cites Kgdm: A diffusion model to capture multiple relation semantics for knowledge graph embedding,.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Kgdm: A diffusion model to capture multiple relation semantics for knowledge graph embedding,

Reference 42

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This paper cites Fact embedding through diffusion model for knowledge graph completion,.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Fact embedding through diffusion model for knowledge graph completion,

Reference 43

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This paper cites Let's Verify Step by Step.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Let's Verify Step by Step

Reference 44

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Observation 2f160bc8-802a-443e-b3c8-91d9f23f8804 · outbound

This paper cites The Web as a Knowledge-base for Answering Complex Questions.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering The Web as a Knowledge-base for Answering Complex Questions

Reference 45

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This paper cites The value of semantic parse labeling for knowledge base question answer- ing,.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering The value of semantic parse labeling for knowledge base question answer- ing,

Reference 46

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Observation bc5e1400-7490-444f-8c84-cd44389aed6d · outbound

This paper cites Beyond iid: three levels of generalization for question answering on knowledge bases,.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Beyond iid: three levels of generalization for question answering on knowledge bases,

Reference 47

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This paper cites Semantic parsing on freebase from question-answer pairs,.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Semantic parsing on freebase from question-answer pairs,

Reference 48

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This paper cites Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources

Reference 49

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This paper cites Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering

Reference 50

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This paper cites Build the future of ai with meta llama 3,.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Build the future of ai with meta llama 3,

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Observation d6cfdc5a-4637-4cbe-8d63-901931de5896 · outbound

This paper cites Hello gpt-4,.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Hello gpt-4,

Reference 52

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Observation 96978912-f96c-4323-a1d1-cc42509eadc5 · outbound

This paper cites Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text

Reference 53

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Observation af97d024-992d-4965-8f04-3a21d1aed636 · outbound

This paper cites Enhancing complex question answering over knowledge graphs through evidence pattern retrieval,.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Enhancing complex question answering over knowledge graphs through evidence pattern retrieval,

Reference 54

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Observation 817a7012-363c-4bb1-9b1d-36f1c9f07d90 · outbound

This paper cites DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:09.510404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e297df2-9934-49f6-8580-aad09046ca1c · outbound

This paper cites TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Bases.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Bases

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:09.516111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31f02d0c-22c2-4724-9d27-8d0fb12d8c6f · outbound

This paper cites FC-KBQA: A Fine-to-Coarse Composition Framework for Knowledge Base Question Answering.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering FC-KBQA: A Fine-to-Coarse Composition Framework for Knowledge Base Question Answering

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:38:09.607195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7dd953de-d05b-4591-b3ff-6b98d4ecd31d · outbound

This paper cites Flexkbqa: A flexible llm-powered framework for few-shot knowledge base question answering,.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Flexkbqa: A flexible llm-powered framework for few-shot knowledge base question answering,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:10.047455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c6684d36-d9cb-463d-bb41-c9593b9b886f · outbound

This paper cites Distribution shifts are bottlenecks: Extensive evalua- tion for grounding language models to knowledge bases,.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Distribution shifts are bottlenecks: Extensive evalua- tion for grounding language models to knowledge bases,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:10.034197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e3faf6c8-a44c-4334-aab2-bc9e761b9257 · outbound

This paper cites Interactive-KBQA: Multi-Turn Interactions for Knowledge Base Question Answering with Large Language Models.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Interactive-KBQA: Multi-Turn Interactions for Knowledge Base Question Answering with Large Language Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:09.533398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a9ee70f-77fb-4cdc-9c6f-f28cb3005fd8 · outbound

This paper cites Few-shot In-context Learning for Knowledge Base Question Answering.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering Few-shot In-context Learning for Knowledge Base Question Answering

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:09.537766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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