Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:24:35.057623Z
Paper Citation Record · LEDGER
As of 23 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 7 inbound Pith citation observations for arXiv:2505.19037.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:24:35.057623Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:24:32.537583Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-07T14:53:55.827006Z
39 of 39 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 2a6b7b26-a6d3-4ab5-961c-069dd69f4cf5 · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models
Reference 1
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Observation 645f1457-e873-4d0c-abd9-065f813b9006 · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models To assess their instruction-following capabilities, several bench- marks have been developed [27–29]
Reference 2
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Observation b79fd799-4ded-4b67-9ec4-f50950a2b1f6 · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models Unresolved cited work
Reference 3
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Observation b0caaaed-1d0c-46bf-be43-0a9af3964cb2 · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models Model details As shown in Table 3, we evaluate publicly available SLMs [9–11, 13–16] alongside their corresponding LLM components [2, 6, 7], which serve as reference systems
Reference 4
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Observation 20672c36-746a-4d22-abc8-4c6153f0fb13 · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models Results on Speech-IFEval Table 2 presents a comprehensive evaluation of Speech-IFEval, focusing exclusively on instruction-following ability while dis- regarding speech perception
Reference 5
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Observation 886d49cc-d10f-45f7-aafa-9bf14b787058 · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models This separation enables a more precise evaluation of whether and how SLMs retain their textual competencies af- ter speech-text training
Reference 6
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Observation ed31a8db-fcc6-4ab7-8375-94b7b68b3dfe · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models GPT-4 Technical Report
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Observation b3177d3d-c58e-4962-8df1-29832954970a · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models Qwen Technical Report
Reference 8
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Observation 7f97b3a4-e44b-484d-90ae-53fa2119c4e0 · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models Qwen2.5 Technical Report
Reference 10
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Observation e0960d5c-1757-4510-807f-811fa14e015a · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 11
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Observation b1b10236-a63c-468b-a77f-539b5803095f · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models The Llama 3 Herd of Models
Reference 12
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Observation 3b2ad39f-88a2-4679-a9fe-e9404ce3d280 · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality,
Reference 13
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Observation 39f79dbb-a3d9-48b2-bac6-14fe91ccb93e · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models Gemini: A Family of Highly Capable Multimodal Models
Reference 14
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Observation bf30c3c8-2ba5-426a-9aa2-36a01b5e3467 · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models
Reference 15
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Observation 2a20b2b8-01bb-47b4-a429-7979f2e0a8a3 · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models Qwen2-Audio Technical Report
Reference 16
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Observation 0593cf21-cea0-43b3-aead-54ce8edbed39 · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models DeSTA2: Developing Instruction-Following Speech Language Model Without Speech Instruction-Tuning Data
Reference 17
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Observation fe847266-4cc8-46a1-b98d-39bbdb5c14e8 · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models Desta: Enhancing speech language models through descriptive speech-text alignment,
Reference 18
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Observation 49741d8f-c750-49ea-94fd-1277e830530b · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models SALMONN: Towards generic hearing abilities for large language models,
Reference 19
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Observation d81abbce-7f91-47df-b675-06c6dfdce61f · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models Joint audio and speech understanding,
Reference 20
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Observation 9b55b015-bacf-4433-979d-63512062722d · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models Distilling an End-to-End Voice Assistant Without Instruction Training Data
Reference 21
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Observation 71b93392-4140-458c-b4ae-827014a5d997 · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models BLSP-Emo: Towards Empathetic Large Speech-Language Models
Reference 22
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Observation 39dc1cdd-a81c-44c2-89b0-8999099d6d37 · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models WavLLM: Towards Robust and Adaptive Speech Large Language Model
Reference 23
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Observation 388bbf6e-702d-4033-a8b4-9560f4d0f11b · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models Speech-copilot: Leveraging large language models for speech processing via task decomposition, modularization, and program generation,
Reference 24
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Observation b2e998b2-2c2f-400a-9e0b-91183918f54f · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models Dynamic-superb: Towards a dynamic, col- laborative, and comprehensive instruction-tuning benchmark for speech,
Reference 25
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Observation 1b177bc9-34fe-4da1-b978-29237c697713 · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models AIR-bench: Benchmarking large audio-language models via generative comprehension,
Reference 26
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Observation 731379bd-e6a0-4014-bfab-9508deb50827 · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models Dynamic-SUPERB phase-2: A collabora- tively expanding benchmark for measuring the capabilities of spo- ken language models with 180 tasks,
Reference 27
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Observation 09c4d480-1e0c-4b01-b5e6-24f7f22a6f04 · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models Beyond single-audio: Advancing multi-audio processing in audio large language models,
Reference 28
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Observation de478c3f-6be0-4767-bfbd-9d0a3fde9c88 · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models
Reference 29
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Observation 3cce925a-6056-447c-98bd-937c24735c65 · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models MMAU: A mas- sive multi-task audio understanding and reasoning benchmark,
Reference 30
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Observation 91d20702-f918-456a-839c-3d382f463706 · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
Reference 31
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Observation 8c2aa1b4-b780-47e3-a703-5d15781dc6ba · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models Self- powered LLM modality expansion for large speech-text models,
Reference 32
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Observation 4658673b-028a-4740-b015-d0fcb7c79845 · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models Instruction-Following Evaluation for Large Language Models
Reference 33
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Observation 500d6a1e-db70-4441-bb02-518cb789caa2 · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models InFoBench: Evaluating instruction following ability in large language models,
Reference 34
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Observation 4c43b894-71b9-40e9-8346-da0bbdde1cff · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models FOFO: A benchmark to evaluate LLMs’ format- following capability,
Reference 35
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Observation 4978150e-c95e-4ebd-a420-3180ce5c811c · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models Audiobench: A universal benchmark for audio large language models,
Reference 36
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Observation d78f16a3-78e7-42bd-a8b8-854def2df714 · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models Can large language models be an alternative to human evaluations?
Reference 37
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Observation f273a5f7-3a38-41ae-87b4-05f016f38ec7 · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models Chain of thought prompting elicits reasoning in large language models,
Reference 38
Source-reported events for the cited work
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Observation 1be62cdc-ea16-423e-997e-5f9a5c1f4106 · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models Robust speech recognition via large-scale weak supervision,
Reference 39
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Observation 6576f5f4-121c-4680-8a4c-92503297dc82 · outbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models emotion2vec: Self-supervised pre-training for speech emotion representation,
Reference 40
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Observation 2a6b7b26-a6d3-4ab5-961c-069dd69f4cf5 · inbound
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models
Reference 1
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Observation b1951685-0dca-4ca2-a233-c7ecd738c91f · inbound
Reducing Object Hallucination in Large Audio-Language Models via Audio-Aware Decoding Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models
Reference 29
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Observation 73550c0b-7382-42e0-916b-836d52fb3f4c · inbound
A Survey of Automatic Evaluation Methods on Text, Visual and Speech Generations Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models
Reference 234
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Observation 02887523-90a9-4bb8-bad3-a48d717f4ffe · inbound
A Survey of Audio Reasoning in Multimodal Foundation Models Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models
Reference 117
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Observation 4b5dee97-94de-4cce-8e2c-254715369ddf · inbound
Preference-ASR: A Preference-Aware Test Set for Benchmarking ASR in the Era of Speech LLMs Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models
Reference 23
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Observation 963c8688-4e22-42df-96b9-f4e92dd0db1e · inbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models
Reference 28
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Observation f2bd38d6-64e9-4c8f-9144-a718b81b1678 · inbound
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models
Reference 28
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Unavailable: canonical work link unavailable.