Requirements Elicitation Follow-Up Question Generation | Paper Citation Record

Observation 4047d756-3b03-49c9-924a-83acbd0d65dd · outbound

This paper cites Elicitron: An LLM Agent-Based Simulation Framework for Design Requirements Elicitation.

Requirements Elicitation Follow-Up Question Generation Elicitron: An LLM Agent-Based Simulation Framework for Design Requirements Elicitation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T20:23:03.563441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccba7cd2-629c-4911-a2c4-ba9ad9a7a29d · outbound

This paper cites Can LLMs replace man- ual annotation of software engineering artifacts?.

Requirements Elicitation Follow-Up Question Generation Can LLMs replace man- ual annotation of software engineering artifacts?

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:19.857383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a8c67f0d-1353-441c-88ff-f11ae12a3222 · outbound

This paper cites A survey of paraphrasing and textual entailment methods.

Requirements Elicitation Follow-Up Question Generation A survey of paraphrasing and textual entailment methods

Reference 3

Resolution: verified exact; raw_fallback, observed 2026-08-06T20:23:09.982092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d6314eef-87eb-41e4-9a59-585408a3058c · outbound

This paper cites Scenario Co-Creation Cards: A Culturally Sensitive Tool for Eliciting Values,.

Requirements Elicitation Follow-Up Question Generation Scenario Co-Creation Cards: A Culturally Sensitive Tool for Eliciting Values,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:19.694405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 83975ff1-d57d-4174-acc9-53d3afb9486e · outbound

This paper cites Using recommendation agents to cope with information overload.

Requirements Elicitation Follow-Up Question Generation Using recommendation agents to cope with information overload

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:19.517688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 47e5a8ff-e130-4c60-80fe-74ddec777bf7 · outbound

This paper cites Knowledge Acquisition Using Structured Interviewing: An Empirical Investigation,.

Requirements Elicitation Follow-Up Question Generation Knowledge Acquisition Using Structured Interviewing: An Empirical Investigation,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T20:23:03.812703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7d1a901-411a-421f-bde5-1dd679b132c6 · outbound

This paper cites Elicitation Techniques: Getting People to Talk About Ideas They Don’t usually talk about.

Requirements Elicitation Follow-Up Question Generation Elicitation Techniques: Getting People to Talk About Ideas They Don’t usually talk about

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:19.374183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b69051ba-a771-4df2-a777-960e7764d1f0 · outbound

This paper cites MUCE: a multilingual use case model extractor using GPT-3.

Requirements Elicitation Follow-Up Question Generation MUCE: a multilingual use case model extractor using GPT-3

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:19.214377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 08f00d2e-05a8-46a1-8ad9-b2475f58d72d · outbound

This paper cites Language models are few-shot learners.

Requirements Elicitation Follow-Up Question Generation Language models are few-shot learners

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:19.029761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 457f719d-1d84-43b5-8edf-7bde75fd935c · outbound

This paper cites Rank Analysis of Incomplete Block Designs: I. The Method of Paired Comparisons.

Requirements Elicitation Follow-Up Question Generation Rank Analysis of Incomplete Block Designs: I. The Method of Paired Comparisons

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:18.867077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 16e501c3-68a2-4c93-b2cc-341d581d36d3 · outbound

This paper cites Science-based interviewing: Information elicitation.

Requirements Elicitation Follow-Up Question Generation Science-based interviewing: Information elicitation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:18.585906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1f0c9925-b538-4f4f-90d4-ba33bb23cd3f · outbound

This paper cites Learning from mistakes: An empirical study of elicitation interviews performed by novices,.

Requirements Elicitation Follow-Up Question Generation Learning from mistakes: An empirical study of elicitation interviews performed by novices,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:18.375657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation de11fae2-7f11-4173-97f6-7e3c29873fee · outbound

This paper cites On the use of GPT- 4 for creating goal models: an exploratory study.

Requirements Elicitation Follow-Up Question Generation On the use of GPT- 4 for creating goal models: an exploratory study

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:18.099126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 049b6d35-450c-43c0-8451-28118503ea93 · outbound

This paper cites Systematizing requirements elicitation technique selection,.

Requirements Elicitation Follow-Up Question Generation Systematizing requirements elicitation technique selection,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:17.694008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ac499618-827b-4b0d-b71a-3f5283672bd0 · outbound

This paper cites Mapping cognitive structures and processes through verbal content: The thought-listing technique,.

Requirements Elicitation Follow-Up Question Generation Mapping cognitive structures and processes through verbal content: The thought-listing technique,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:17.271518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 68818d29-7609-4b28-a77c-17410423f9b8 · outbound

This paper cites Data quality in on- line human-subjects research: Comparisons between MTurk, Prolific, CloudResearch, Qualtrics, and SONA.

Requirements Elicitation Follow-Up Question Generation Data quality in on- line human-subjects research: Comparisons between MTurk, Prolific, CloudResearch, Qualtrics, and SONA

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:16.932646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0ccb51e8-08df-4e4a-83a6-0a6a879de0cd · outbound

This paper cites Common mistakes of student analysts in requirements elicitation interviews,.

Requirements Elicitation Follow-Up Question Generation Common mistakes of student analysts in requirements elicitation interviews,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:16.720725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b9455272-accb-4835-9f22-34fa491fb8e6 · outbound

This paper cites Recognizing textual entailment: Models and applications.

Requirements Elicitation Follow-Up Question Generation Recognizing textual entailment: Models and applications

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:16.546869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ae8d2b0f-4476-4a6c-87a2-b3f5ab9c1a53 · outbound

This paper cites Smarter faster better: The transformative power of real productivity.

Requirements Elicitation Follow-Up Question Generation Smarter faster better: The transformative power of real productivity

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:16.284977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5c159d10-29a5-49e8-809d-9c105da3174e · outbound

This paper cites Detecting hallucinations in large language models using semantic entropy.

Requirements Elicitation Follow-Up Question Generation Detecting hallucinations in large language models using semantic entropy

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:16.045156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c2d0f493-4b84-4bd8-af7f-4e42afc887eb · outbound

This paper cites Learning Require- ments Elicitation Interviews with Role-Playing, Self-Assessment and Peer-Review,.

Requirements Elicitation Follow-Up Question Generation Learning Require- ments Elicitation Interviews with Role-Playing, Self-Assessment and Peer-Review,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:15.777664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 684b6910-91e2-4b38-bbe0-301f7e3c05bb · outbound

This paper cites How do requirements evolve during elicitation? An empirical study combining interviews and app store analysis.

Requirements Elicitation Follow-Up Question Generation How do requirements evolve during elicitation? An empirical study combining interviews and app store analysis

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:15.552958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bb8c9c18-36dc-445f-898e-5e077aae50b8 · outbound

This paper cites Ambiguity and tacit knowledge in requirements elicitation interviews.

Requirements Elicitation Follow-Up Question Generation Ambiguity and tacit knowledge in requirements elicitation interviews

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:15.500424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3b3a244e-aa8c-41ee-868c-a413e7242880 · outbound

This paper cites Generating Requirements Elicitation In- terview Scripts with Large Language Models,.

Requirements Elicitation Follow-Up Question Generation Generating Requirements Elicitation In- terview Scripts with Large Language Models,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T20:23:05.041759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14c02a39-6cc9-4282-a53a-4d6c61689a71 · outbound

This paper cites GPT-Powered Elicitation Interview Script Generator for Requirements Engineering Training.

Requirements Elicitation Follow-Up Question Generation GPT-Powered Elicitation Interview Script Generator for Requirements Engineering Training

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:23:09.635114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c408035d-0f33-4a80-97fd-fe9842221a7d · outbound

This paper cites Openagi: When llm meets domain experts.

Requirements Elicitation Follow-Up Question Generation Openagi: When llm meets domain experts

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:15.370188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fa9d2328-3857-4404-b60c-821a84b06068 · outbound

This paper cites On Non-Functional Requirements,.

Requirements Elicitation Follow-Up Question Generation On Non-Functional Requirements,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T20:23:05.286538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f97cdda2-cd1c-403b-87bc-bab7da25f5ea · outbound

This paper cites Personas, Participatory Design and Product Devel- opment: An Infrastructure for Engagement.

Requirements Elicitation Follow-Up Question Generation Personas, Participatory Design and Product Devel- opment: An Infrastructure for Engagement

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:15.198869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 23c7167b-e9b5-4bae-903c-55b0f806fa8a · outbound

This paper cites Groen; N.

Requirements Elicitation Follow-Up Question Generation Groen; N

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:15.087569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation be023237-99c9-4924-b1de-4feb71587557 · outbound

This paper cites The effects of cognitive load for investigative interviewers.

Requirements Elicitation Follow-Up Question Generation The effects of cognitive load for investigative interviewers

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:14.929964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation be5ac9b2-ca39-4e5e-8ee5-3adb25a330fe · outbound

This paper cites Elicitation technique selection: how do experts do it?.

Requirements Elicitation Follow-Up Question Generation Elicitation technique selection: how do experts do it?

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:14.784018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 88352c3c-506e-40f7-933d-a49a3a43acae · outbound

This paper cites The role of domain knowledge in requirements elicitation via interviews: an exploratory study.

Requirements Elicitation Follow-Up Question Generation The role of domain knowledge in requirements elicitation via interviews: an exploratory study

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:14.620918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2cedb5d3-2cf4-4cd5-8367-952a1bdab8a7 · outbound

This paper cites Designing Effective Interview Chatbots: Automatic Chatbot Profiling and Design Suggestion Generation for Chatbot Debugging,.

Requirements Elicitation Follow-Up Question Generation Designing Effective Interview Chatbots: Automatic Chatbot Profiling and Design Suggestion Generation for Chatbot Debugging,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:14.427119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5abfe403-bfcb-46a5-ba81-e417634b0588 · outbound

This paper cites The World and the Machine.

Requirements Elicitation Follow-Up Question Generation The World and the Machine

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:14.284863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a8f8c1d3-8ca1-419a-83d1-6fdfbd108ffd · outbound

This paper cites Elicitation Techniques for Interviewing.

Requirements Elicitation Follow-Up Question Generation Elicitation Techniques for Interviewing

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:14.179435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 117f7d9c-2cc7-4eab-917b-14b7fc181e46 · outbound

This paper cites System- atic methodological review: developing a framework for a qualitative semi-structured interview guide.

Requirements Elicitation Follow-Up Question Generation System- atic methodological review: developing a framework for a qualitative semi-structured interview guide

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:14.051071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fa4bc219-abab-4a54-87de-70cc6d96ef68 · outbound

This paper cites Negated and Misprimed Probes for Pre- trained Language Models: Birds Can Talk, But Cannot Fly.

Requirements Elicitation Follow-Up Question Generation Negated and Misprimed Probes for Pre- trained Language Models: Birds Can Talk, But Cannot Fly

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:13.954395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8da40683-b7ec-42bb-b958-64128ba2608e · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.

Requirements Elicitation Follow-Up Question Generation Retrieval-augmented generation for knowledge-intensive nlp tasks

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:13.824870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fd89b445-ab19-4f89-9786-85658ade9a03 · outbound

This paper cites Textual Entailment based Question Generation.

Requirements Elicitation Follow-Up Question Generation Textual Entailment based Question Generation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:13.662957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ce9a57da-36d3-47de-bdb2-bca4b624b736 · outbound

This paper cites Acquiring Creative Require- ments from the Crowd.

Requirements Elicitation Follow-Up Question Generation Acquiring Creative Require- ments from the Crowd

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:13.468592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3199f6c0-4ca9-4c27-93dd-b1ba657a42e4 · outbound

This paper cites When Users Become Collaborators: Towards Continuous and Context-Aware User Input.

Requirements Elicitation Follow-Up Question Generation When Users Become Collaborators: Towards Continuous and Context-Aware User Input

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:13.279156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 020c140f-06f5-43e9-83a9-af5f7d86712f · outbound

This paper cites Bug report, feature request, or simply praise? On automatically classifying app reviews,.

Requirements Elicitation Follow-Up Question Generation Bug report, feature request, or simply praise? On automatically classifying app reviews,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T20:23:06.866350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c9b1900-69d8-40eb-a168-310099f47aa1 · outbound

This paper cites Training language models to follow instructions with human feedback.

Requirements Elicitation Follow-Up Question Generation Training language models to follow instructions with human feedback

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:13.076162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 51bef152-d680-4843-b273-ad45e63f05ab · outbound

This paper cites The state-of-practice in requirements elicitation: an extended interview study at 12 companies.

Requirements Elicitation Follow-Up Question Generation The state-of-practice in requirements elicitation: an extended interview study at 12 companies

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:12.869504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8b304737-eecb-472e-900a-8569a8b46a30 · outbound

This paper cites A survey on Recognizing Textual Entailment as an NLP Evaluation.

Requirements Elicitation Follow-Up Question Generation A survey on Recognizing Textual Entailment as an NLP Evaluation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:12.648717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 762adb43-7e6f-4c1d-9443-0426dbc414d3 · outbound

This paper cites Inquiry-based requirements analysis,.

Requirements Elicitation Follow-Up Question Generation Inquiry-based requirements analysis,

Reference 46

Resolution: verified exact; doi, observed 2026-08-06T20:23:09.126655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 810d0255-15de-43d5-9b42-98b8a245e926 · outbound

This paper cites Saldan ˜a.

Requirements Elicitation Follow-Up Question Generation Saldan ˜a

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:12.473964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1c9ae03b-f6b6-4d51-95c6-a95045e5d755 · outbound

This paper cites Generative goal modeling,.

Requirements Elicitation Follow-Up Question Generation Generative goal modeling,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:12.325004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2317b746-3c0a-4402-a4ff-91f6534c2100 · outbound

This paper cites Stakeholder Preference Extraction From Sce- narios.

Requirements Elicitation Follow-Up Question Generation Stakeholder Preference Extraction From Sce- narios

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:12.140857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4fab458f-9a4d-40f5-b211-9ed2da36fff3 · outbound

This paper cites Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting.

Requirements Elicitation Follow-Up Question Generation Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T20:23:07.707797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2094eee9-25bf-48a8-bb9d-0db58bc0774d · outbound

This paper cites Interview review: An empirical study on detecting ambiguities in requirements elicitation interviews.

Requirements Elicitation Follow-Up Question Generation Interview review: An empirical study on detecting ambiguities in requirements elicitation interviews

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:11.960655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2cb66ff1-4ce0-411b-b90f-89043bbcdfe5 · outbound

This paper cites RACER: An LLM-powered Methodology for Scalable Analysis of Semi-structured Mental Health Interviews.

Requirements Elicitation Follow-Up Question Generation RACER: An LLM-powered Methodology for Scalable Analysis of Semi-structured Mental Health Interviews

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:23:09.335455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f16436aa-dcaa-46c5-9d97-5c58d7ebe2ac · outbound

This paper cites Focus groups: Theory and practice.

Requirements Elicitation Follow-Up Question Generation Focus groups: Theory and practice

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:11.586333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 63718ae7-e75f-4642-9e69-caf1650bc50a · outbound

This paper cites Requirements Engineering: From System Goals to UML Models to Software Specifications.

Requirements Elicitation Follow-Up Question Generation Requirements Engineering: From System Goals to UML Models to Software Specifications

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:11.201706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c620e53b-c5b6-471a-85b6-6af787b3bac9 · outbound

This paper cites an unresolved cited work.

Requirements Elicitation Follow-Up Question Generation Unresolved cited work

Reference 55

Resolution: parse uncertain; raw_fallback, observed 2026-08-06T20:23:11.391070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 691139a8-168b-4b14-b0e4-435723fb3a4b · outbound

This paper cites A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT.

Requirements Elicitation Follow-Up Question Generation A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T20:23:08.322950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd24c7b9-c6d7-4a86-84b1-45c785e981a0 · outbound

This paper cites Large Language Models Still Can’t Plan (A Benchmark for LLMs on Planning and Reasoning about Change).

Requirements Elicitation Follow-Up Question Generation Large Language Models Still Can’t Plan (A Benchmark for LLMs on Planning and Reasoning about Change)

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:10.972918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1fdcec76-c208-4576-b914-efbf864c8acc · outbound

This paper cites Case study research: Design and methods.

Requirements Elicitation Follow-Up Question Generation Case study research: Design and methods

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:10.621558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d1135aca-d67a-4201-80c2-63b00d429b5e · outbound

This paper cites Efficient continual pre-training for building domain specific large language models.

Requirements Elicitation Follow-Up Question Generation Efficient continual pre-training for building domain specific large language models

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:10.802046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bfcda268-34f7-4ef1-b484-2bc797755019 · outbound

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

Requirements Elicitation Follow-Up Question Generation Judging llm-as-a-judge with mt- bench and chatbot arena

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:10.186144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3df290d4-439c-495c-8ed0-48d2e08a1d5c · outbound

This paper cites Requirements Elicitation: A Survey of Tech- niques, Approaches, and Tools,.

Requirements Elicitation Follow-Up Question Generation Requirements Elicitation: A Survey of Tech- niques, Approaches, and Tools,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:23:10.420345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b3167978-2746-44ef-84f2-815720f55e04 · outbound

This paper cites Requirements Elicita- tion Follow-Up Question Generation.

Requirements Elicitation Follow-Up Question Generation Requirements Elicita- tion Follow-Up Question Generation

Reference 63

Resolution: verified exact; doi, observed 2026-08-06T20:23:08.977346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0e9a1f6d-9777-4f74-98f9-da9a47052692 · outbound

This paper cites an unresolved cited work.

Requirements Elicitation Follow-Up Question Generation Unresolved cited work

Reference 118

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:23:11.767997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers