Paper Citation Record · LEDGER

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types

As of 11 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2412.17867.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.17867 v4

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:32:11.229466Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T21:12:50.656479Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-29T21:13:59.761947Z

Reference resolution

48 of 48 outbound references displayed

verified exact2
verified fuzzy15
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6edd36b5-49fa-4238-bf2d-d67725cef1fd · outbound

This paper cites Interactive-t2s: Multi-turn interactions for text-to-sql with large language models,.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types Interactive-t2s: Multi-turn interactions for text-to-sql with large language models,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:11.889038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dafff2ac-0050-4229-b6fc-964a2f5775de · outbound

This paper cites ChatBI: Towards Natural Language to Complex Business Intelligence SQL.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types ChatBI: Towards Natural Language to Complex Business Intelligence SQL

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:10.938089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be83377e-ee26-45d8-aade-31e845c1a808 · outbound

This paper cites Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls,.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:11.874920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ffacd9a9-a55f-4fa9-8e6f-342dafe75358 · outbound

This paper cites Conda: state-based data augmentation for context-dependent text-to-sql,.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types Conda: state-based data augmentation for context-dependent text-to-sql,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:11.862398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5715aa5e-5626-4614-a331-936ef78b385f · outbound

This paper cites Chase-sql: Multi-path reasoning and preference optimized candidate selection in text-to-sql,.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types Chase-sql: Multi-path reasoning and preference optimized candidate selection in text-to-sql,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:11.063229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6006cc3-ff4c-4f62-8f63-c878bb655e4b · outbound

This paper cites MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:11.071443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09a48938-2603-4daf-a503-f217c564108c · outbound

This paper cites CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:11.067181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ee88942-7752-47a9-85e7-bd849e899f61 · outbound

This paper cites A Survey of Hallucination in Large Foundation Models.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types A Survey of Hallucination in Large Foundation Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:11.079401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9ba131b-6f8f-4fe1-a311-ae2357f961e8 · outbound

This paper cites Know what i don’t know: Handling ambiguous and unknown questions for text-to-sql,.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types Know what i don’t know: Handling ambiguous and unknown questions for text-to-sql,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:11.840844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 153408e1-673a-4b8f-861f-539a3bbe89db · outbound

This paper cites TrustSQL: Benchmarking Text-to-SQL Reliability with Penalty-Based Scoring.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types TrustSQL: Benchmarking Text-to-SQL Reliability with Penalty-Based Scoring

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:11.088269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b701b11c-6821-4ac6-8a89-c84bdcd219b7 · outbound

This paper cites AMBROSIA: A Benchmark for Parsing Ambiguous Questions into Database Queries.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types AMBROSIA: A Benchmark for Parsing Ambiguous Questions into Database Queries

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:11.083905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4b24acc-e072-4fba-af75-f6a436105fe2 · outbound

This paper cites SParC: Cross-Domain Semantic Parsing in Context.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types SParC: Cross-Domain Semantic Parsing in Context

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:11.096643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19a463f9-1b65-4da7-9903-0ba82f6d9fbe · outbound

This paper cites Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:11.092666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65c64fcb-5c9f-4b58-9f17-8e93f0370238 · outbound

This paper cites Did You Ask a Good Question? A Cross-Domain Question Intention Classification Benchmark for Text-to-SQL.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types Did You Ask a Good Question? A Cross-Domain Question Intention Classification Benchmark for Text-to-SQL

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:11.104805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cd0f214-99d2-4bad-ac3a-2539f6185002 · outbound

This paper cites Chase: A large-scale and pragmatic chinese dataset for cross-database context-dependent text-to-sql,.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types Chase: A large-scale and pragmatic chinese dataset for cross-database context-dependent text-to-sql,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:11.826520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2e27203f-ec7b-4af4-a556-cb67e9847d42 · outbound

This paper cites Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:11.112652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f5e7013-bf78-4f74-af5d-57673a73cda5 · outbound

This paper cites QDA-SQL: Questions Enhanced Dialogue Augmentation for Multi-Turn Text-to-SQL.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types QDA-SQL: Questions Enhanced Dialogue Augmentation for Multi-Turn Text-to-SQL

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:11.108989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da21000b-4d12-4c1c-be3a-089e4aceaf2b · outbound

This paper cites CoSQL: A conversational text-to-SQL challenge towards cross-domain natural language interfaces to databases,.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types CoSQL: A conversational text-to-SQL challenge towards cross-domain natural language interfaces to databases,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:11.814339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fd0c3d7a-40db-4dbe-ba9b-530692741328 · outbound

This paper cites Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:11.116179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 649bba4b-abb1-4552-9ffd-cf22ab08edb1 · outbound

This paper cites PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:11.127906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65ea5e78-64bf-4caa-a35d-7c9dfc5c0f19 · outbound

This paper cites A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:11.123619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19096444-5489-476c-8dc1-0e13c4b57e86 · outbound

This paper cites Text-to-sql with large language models: Exploring the promise and pitfalls,.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types Text-to-sql with large language models: Exploring the promise and pitfalls,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:11.790440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 54ecb1a4-a7e5-43e9-9b9c-cb53fb135d38 · outbound

This paper cites RAT-SQL: Relation-aware schema encoding and linking for text- to-SQL parsers,.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types RAT-SQL: Relation-aware schema encoding and linking for text- to-SQL parsers,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:11.802849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 681b221e-6765-40da-b800-e2699e49619c · outbound

This paper cites DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:11.143103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79c00550-b824-4b2d-8eb8-861326522718 · outbound

This paper cites Optimization modeling and verification from problem specifications using a multi-agent multi-stage llm framework,.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types Optimization modeling and verification from problem specifications using a multi-agent multi-stage llm framework,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:11.776694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 10210bca-fe37-4779-844d-0232a45c228f · outbound

This paper cites Evaluating text-to-sql model failures on real-world data,.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types Evaluating text-to-sql model failures on real-world data,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:11.754532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1cfba163-291b-4e24-942c-702b7b15c302 · outbound

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

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types Chain-of-thought prompting elicits reasoning in large language models,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:11.147284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 492b6229-35be-4b58-bcf6-46d38ca73a02 · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:11.158928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42dea213-9517-4b60-80c6-3bc90f8f0481 · outbound

This paper cites Benchmarking and improving text-to-SQL generation under ambiguity,.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types Benchmarking and improving text-to-SQL generation under ambiguity,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:11.741677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 664b2fca-5e4c-4559-9380-e64c57645539 · outbound

This paper cites A survey on large language model based autonomous agents,.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types A survey on large language model based autonomous agents,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:11.166941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a57c21eb-c883-4279-8326-624b6feec07b · outbound

This paper cites Cognitive Mirage: A Review of Hallucinations in Large Language Models.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types Cognitive Mirage: A Review of Hallucinations in Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:11.162911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea030616-c0ea-4ce1-957b-51c491a40daf · outbound

This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:11.174316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b076ca3a-c648-4010-b755-399d465b91a3 · outbound

This paper cites AutoGPT,.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types AutoGPT,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:11.721295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5debf461-8c6a-4866-a27d-6d8c35b4ef3f · outbound

This paper cites Instruction-following evaluation for large language models,.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types Instruction-following evaluation for large language models,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:11.182101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bbaa214-2503-46c2-8f15-e2790912c335 · outbound

This paper cites MAG-SQL: Multi-Agent Generative Approach with Soft Schema Linking and Iterative Sub-SQL Refinement for Text-to-SQL.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types MAG-SQL: Multi-Agent Generative Approach with Soft Schema Linking and Iterative Sub-SQL Refinement for Text-to-SQL

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:11.178070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd26b6f7-8aad-4975-9346-9dd74318f6ac · outbound

This paper cites MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:11.193825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fdd8091-b7c0-436a-b5e5-18852752b6c5 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena,.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types Judging llm-as-a-judge with mt-bench and chatbot arena,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:11.197816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c819827b-fcce-4637-a429-99a051c0e625 · outbound

This paper cites G-eval: NLG evaluation using gpt-4 with better human alignment,.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types G-eval: NLG evaluation using gpt-4 with better human alignment,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:11.701474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5dbcaf13-11b2-4ff4-bcad-df69789b6f5b · outbound

This paper cites ChatDev: Communicative Agents for Software Development.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types ChatDev: Communicative Agents for Software Development

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:11.209508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5decd463-58d4-4470-ac97-41a68c996cae · outbound

This paper cites LLM-Generated Natural Language Meets Scaling Laws: New Explorations and Data Augmentation Methods.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types LLM-Generated Natural Language Meets Scaling Laws: New Explorations and Data Augmentation Methods

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:11.213935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1b817a8-9e1f-4e7f-803a-32a7a5d68702 · outbound

This paper cites Large language models are not fair evaluators,.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types Large language models are not fair evaluators,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:11.680534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 466c1153-1c28-4f5b-b24d-61bed5d0b83c · outbound

This paper cites Large Language Models are not Fair Evaluators.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types Large Language Models are not Fair Evaluators

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:11.205236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 106b235f-74cb-4f35-b2a5-35c689ba378a · outbound

This paper cites WizardLM: Empowering large pre-trained language models to follow complex instructions.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types WizardLM: Empowering large pre-trained language models to follow complex instructions

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:11.225711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0eac8988-03ba-4edf-856a-2ed1030db9b7 · outbound

This paper cites Grade Score: Quantifying LLM Performance in Option Selection.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types Grade Score: Quantifying LLM Performance in Option Selection

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-11T10:32:11.267686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 804144bd-94f1-42aa-8046-2718c12745ba · outbound

This paper cites Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilities.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilities

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:11.218017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecee97c7-898b-47c1-97a7-457dc5c72a6f · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena,.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types Judging llm-as-a-judge with mt-bench and chatbot arena,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:11.666994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8a0f0e64-a8f2-4df2-a03b-27c121b2c22c · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types Instruction-Following Evaluation for Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:11.185581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5057d25f-1cbc-4519-9dbe-1c43e355e201 · outbound

This paper cites Available: https://arxiv.org/abs/2408.11062.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types Available: https://arxiv.org/abs/2408.11062

Reference 2024

Resolution: verified exact; raw_fallback, observed 2026-08-11T10:32:11.655422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation 72372bde-4f4e-4948-9db2-07daf01f285b · inbound

Memory Architectures for Multi-Turn Text-to-SQL: A Benchmark and Empirical Study cites this paper.

Memory Architectures for Multi-Turn Text-to-SQL: A Benchmark and Empirical Study Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-29T21:13:59.763229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.