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Paper Citation Record · LEDGER

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO

As of 10 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2607.27756.

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

pith.paper-citation-record.v1
2607.27756 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T01:56:16.007863Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

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External citation measurements

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Outbound references

Observation 788b3f6c-4db0-4df3-bd2c-836e83fa7150 · outbound

This paper cites GPT-4o System Card,.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO GPT-4o System Card,

Reference 1

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source=pdf_text observed=2026-08-01T01:56:10.416778Z digest=sha256:bc633b0494acbd504c9f872c01742ee312a7008dedd9f8f12a683e539ce223cc

Observation 9560a833-0e86-4a0c-ab01-bab6f584bcbf · outbound

This paper cites Moshi: a speech-text foundation model for real-time dialogue.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Moshi: a speech-text foundation model for real-time dialogue

Reference 2

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source=pdf_text observed=2026-08-01T01:56:10.528940Z digest=sha256:e2576ce47e3bb0f48e3cbafb75fd7d577953dc27af425c326ed37703efe0e1f3

Observation 1153c227-50cf-4b9e-89d4-0338aa6350c9 · outbound

This paper cites Personaplex: V oice and role control for full duplex conversational speech models,.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Personaplex: V oice and role control for full duplex conversational speech models,

Reference 3

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source=pdf_text observed=2026-08-01T01:56:10.668140Z digest=sha256:ab1e79846cb739876e7a356d5662e827719c96ea2862fe38866be0b1560102ca

Observation e624201f-2ee7-4850-a6d0-590cfeb18e85 · outbound

This paper cites Qwen2.5-Omni Technical Report.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Qwen2.5-Omni Technical Report

Reference 4

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source=pdf_text observed=2026-08-01T01:56:10.827949Z digest=sha256:8b5c37e1f8aac0813c74dae14dccf44c8f981f4b5fa229a8eb67506a3ca0e4aa

Observation fdea526e-90f8-425c-8698-6402185f0f7d · outbound

This paper cites Qwen3-Omni Technical Report.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Qwen3-Omni Technical Report

Reference 5

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source=pdf_text observed=2026-08-01T01:56:10.937839Z digest=sha256:9601758096afda5372e6b6705546a68677374120bf5c06fbf4c9e43964d89ec6

Observation 69039bc1-eb5e-4a90-b17d-cd000c1e5a83 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 6

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source=pdf_text observed=2026-08-01T01:56:11.074176Z digest=sha256:ee1a9745509adb6bbc83af7cb3574cf05eecc405d168c8534c63522121377e7e

Observation 00afae82-4b4e-4571-bcd0-fbd8ddfa345e · outbound

This paper cites Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming

Reference 7

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source=pdf_text observed=2026-08-01T01:56:11.217841Z digest=sha256:5fae80da70e85f792da53bd748fd15cad738ca60d87fca8c30eae8b93faa3318

Observation 5e6763b9-2544-45e1-82ae-e2b4c8cbe348 · outbound

This paper cites LLaMA-Omni: Seamless Speech Interaction with Large Language Models.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO LLaMA-Omni: Seamless Speech Interaction with Large Language Models

Reference 8

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source=pdf_text observed=2026-08-01T01:56:11.344932Z digest=sha256:d58f93ffc41e9f7ca55ed5ca1d8d96e602af7bf78c9c86459fefda4904d23fec

Observation 48c84c9f-daa9-43a0-bb18-054a639450ad · outbound

This paper cites Qwen2-Audio Technical Report.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Qwen2-Audio Technical Report

Reference 9

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source=pdf_text observed=2026-08-01T01:56:11.504456Z digest=sha256:6165b85a53946c8220f113067b52754a5be6582dd31516a16978805b82517260

Observation d9f3b444-9dcc-47d1-adb1-8860bdf40f52 · outbound

This paper cites Mini-Omni2: Towards Open-source GPT-4o with Vision, Speech and Duplex Capabilities.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Mini-Omni2: Towards Open-source GPT-4o with Vision, Speech and Duplex Capabilities

Reference 10

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source=pdf_text observed=2026-08-01T01:56:11.607296Z digest=sha256:04bfdd2e14bff614028a6234d568394eb6d86e4c6a41dc426271bdad17d12eb6

Observation 853fd419-db93-4bc9-a2f8-5aa3d67b57ab · outbound

This paper cites Some experiments on the recognition of speech, with one and with two ears,.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Some experiments on the recognition of speech, with one and with two ears,

Reference 11

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source=pdf_text observed=2026-08-01T01:56:11.708738Z digest=sha256:aeaea6a6ea202ee4889f00aaea461e279903ada594d415ff3db54c4e896e4b82

Observation 1f3ad423-b469-408b-8477-4966ba6f9131 · outbound

This paper cites The cocktail party problem: what is it? how can it be solved? and why should animal behaviorists study it?.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO The cocktail party problem: what is it? how can it be solved? and why should animal behaviorists study it?

Reference 12

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source=pdf_text observed=2026-08-01T01:56:11.843244Z digest=sha256:babf05bf22ad5f44535c5b97c0905641c23c0bca633fb27b4b26c61defcd7662

Observation b55221ab-6ea2-4c20-bc9b-964280ef28dd · outbound

This paper cites Just ASR + LLM? a study on speech large language models’ ability to identify and understand speaker in spoken dialogue,.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Just ASR + LLM? a study on speech large language models’ ability to identify and understand speaker in spoken dialogue,

Reference 13

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source=pdf_text observed=2026-08-01T01:56:12.025784Z digest=sha256:2f9cb6a5c00a2e4f100941388ec389c285220e53eb52a340d0fee9c1cdd4474b

Observation 96e98f15-bfea-43ce-955f-b0418946de49 · outbound

This paper cites Avmeme exam: A multimodal multilingual multicultural benchmark for llms’ contextual and cultural knowledge and thinking,.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Avmeme exam: A multimodal multilingual multicultural benchmark for llms’ contextual and cultural knowledge and thinking,

Reference 14

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source=pdf_text observed=2026-08-01T01:56:12.212161Z digest=sha256:51d918228cca4446c341f46ba0c968ee7b84741017942bff47f8b157768c643a

Observation e849d692-f02c-4dcb-b34b-cdadafa53b4d · outbound

This paper cites MSU-Bench: Towards Understanding the Conversational Multi-talker Scenarios.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO MSU-Bench: Towards Understanding the Conversational Multi-talker Scenarios

Reference 15

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source=pdf_text observed=2026-08-01T01:56:12.264320Z digest=sha256:b06d362840d01ee7815f9a66bfca6d8287b3563d77048d94368f9bbb51a2212a

Observation 8b535e89-b1aa-4c09-bd24-d92b16131d16 · outbound

This paper cites M3-slu: Evaluating speaker- attributed reasoning in multimodal large language models,.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO M3-slu: Evaluating speaker- attributed reasoning in multimodal large language models,

Reference 16

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source=pdf_text observed=2026-08-01T01:56:12.391103Z digest=sha256:88fa0837d07a16a381a92520eb0387b13ae3dfa2c4444a650a0ff5d351a2fd4a

Observation a86a3fd3-8800-476b-a9e9-0bd5e4630dfc · outbound

This paper cites Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities

Reference 17

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source=pdf_text observed=2026-08-01T01:56:12.513345Z digest=sha256:d5e461453a6fd8b1247e538516465f0026ccc2c7687b54f669e8754f75205eed

Observation 028a8f72-c847-4269-b3c0-590c0f7d91ac · outbound

This paper cites Full-duplex-bench v1. 5: Evaluating overlap handling for full-duplex speech models,.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Full-duplex-bench v1. 5: Evaluating overlap handling for full-duplex speech models,

Reference 18

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source=pdf_text observed=2026-08-01T01:56:12.628782Z digest=sha256:fb96e80cba16be1927ff00aa3db8d8dd999a7d1a64320bc58dea6ca87cfa5deb

Observation 6a0378b2-c122-4747-bbde-d0362c82c417 · outbound

This paper cites V oiceFilter: Targeted voice separation by speaker-conditioned spectrogram masking,.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO V oiceFilter: Targeted voice separation by speaker-conditioned spectrogram masking,

Reference 19

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source=pdf_text observed=2026-08-01T01:56:12.788543Z digest=sha256:2f45938bca40da928cb4d229379f6486593183daefb9c95681ec1f4dc7f42969

Observation db2eec55-b872-4286-8d59-91c69257d43d · outbound

This paper cites Listen, chat, and remix: Text-guided soundscape remixing for enhanced auditory experience,.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Listen, chat, and remix: Text-guided soundscape remixing for enhanced auditory experience,

Reference 20

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source=pdf_text observed=2026-08-01T01:56:12.958206Z digest=sha256:fc68f4e7556dd72a8591017cab427cc36bcb27b9879e5e57488d67a4ec82cf31

Observation 82ce8180-6ef9-460a-9ea3-20aaf2cabc5f · outbound

This paper cites Meanflow-tse: One-step generative target speaker extraction with mean flow,.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Meanflow-tse: One-step generative target speaker extraction with mean flow,

Reference 21

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source=pdf_text observed=2026-08-01T01:56:13.053366Z digest=sha256:266475f69a2b2ac2103dd4ccb46fe9847a27f998075682d00fd56518a5b65aba

Observation 63e40c67-e0bc-406c-a7a7-292ac888e500 · outbound

This paper cites Auxiliary interference speaker loss for target-speaker speech recognition,.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Auxiliary interference speaker loss for target-speaker speech recognition,

Reference 22

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source=pdf_text observed=2026-08-01T01:56:13.218631Z digest=sha256:81680431ac38486b3e8c4b9c8cc1c27fcdf0d8c89954627c86c0e2b1dda71a1b

Observation 9c0be647-fc06-45a2-bd0f-82b140f1b894 · outbound

This paper cites End-to-end multi-speaker speech recognition using speaker embeddings and transfer learning,.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO End-to-end multi-speaker speech recognition using speaker embeddings and transfer learning,

Reference 23

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source=pdf_text observed=2026-08-01T01:56:13.368342Z digest=sha256:c802c02b6644bd41ac8343d0daddddaa56aa15fcab6364c97fd66a6e5e4d4eeb

Observation 94a13fbb-261c-4d05-b1de-a7f176bdab43 · outbound

This paper cites Conformer- based target-speaker automatic speech recognition for single-channel audio,.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Conformer- based target-speaker automatic speech recognition for single-channel audio,

Reference 24

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source=pdf_text observed=2026-08-01T01:56:13.501136Z digest=sha256:bf549b3c8fce6ab0c9f44917968ca69ce2b3e807e6d9c8de6b579cc0b8ffa387

Observation bf4ed2fd-706e-4a63-a44a-245fa8281854 · outbound

This paper cites AAD-LLM: Neural attention-driven auditory scene understanding,.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO AAD-LLM: Neural attention-driven auditory scene understanding,

Reference 25

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source=pdf_text observed=2026-08-01T01:56:13.641217Z digest=sha256:96736afe57d8ad0a880f40f853a6f34d8aa55091f2f4187b2755a8238de12641

Observation ebd308f0-ab70-4ee6-a978-9b24da0e7a4e · outbound

This paper cites Focus Then Listen: An Empirical Study of Plug-and-Play Audio Enhancer for Noise-Robust Large Audio Language Models.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Focus Then Listen: An Empirical Study of Plug-and-Play Audio Enhancer for Noise-Robust Large Audio Language Models

Reference 26

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source=pdf_text observed=2026-08-01T01:56:13.771206Z digest=sha256:7af918dfffdfaf16387aee6cb68685c8e81d1f588ff4016e5b7b92c423cafe3d

Observation cb5b584b-f626-4d57-9d08-740ad6673e3d · outbound

This paper cites LibriMix: An Open-Source Dataset for Generalizable Speech Separation.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO LibriMix: An Open-Source Dataset for Generalizable Speech Separation

Reference 27

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Observation abbb6c8e-01d8-4b57-a69d-a5131f0dfa40 · outbound

This paper cites CHiME-6 challenge: Tackling multispeaker speech recognition for unsegmented recordings,.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO CHiME-6 challenge: Tackling multispeaker speech recognition for unsegmented recordings,

Reference 28

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source=pdf_text observed=2026-08-01T01:56:14.046887Z digest=sha256:3c3225d7ddaf14102dd2c85584a2017700da2678a85eafdc3736a6af4843dc9e

Observation 372b49b6-6131-4442-87d6-0f3b4d26654b · outbound

This paper cites The AMI meeting corpus: A pre-announcement,.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO The AMI meeting corpus: A pre-announcement,

Reference 29

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Observation e7e893e9-b2e7-4de0-8798-c424b85a8856 · outbound

This paper cites Speak or stay silent: Context-aware turn-taking in multi-party dialogue,.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Speak or stay silent: Context-aware turn-taking in multi-party dialogue,

Reference 30

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source=pdf_text observed=2026-08-01T01:56:14.318275Z digest=sha256:88c734fb33cdeaef287bab223f9c55fb79271c97ec5a3b0dbd01834afb451c11

Observation 1b73ee49-b7d7-48fc-a4cf-e3096c73c695 · outbound

This paper cites Demand: a collection of multi- channel recordings of acoustic noise in diverse environments,.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Demand: a collection of multi- channel recordings of acoustic noise in diverse environments,

Reference 31

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source=pdf_text observed=2026-08-01T01:56:14.440453Z digest=sha256:3373426db675c8779835993d61178c13b0df2c38f840ac925e830c287ba552f7

Observation 322c8393-bb2d-436e-82e8-f7a5aaf6ef24 · outbound

This paper cites Dailytalk: Spoken dialogue dataset for conversational text-to-speech,.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Dailytalk: Spoken dialogue dataset for conversational text-to-speech,

Reference 32

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source=pdf_text observed=2026-08-01T01:56:14.600689Z digest=sha256:38fa11bb5bcd9c71f719f34d52cb955632a60b8fa271e47162b5a32b96ada46c

Observation 8d352b3c-bae2-405b-abd6-074198edb42e · outbound

This paper cites Gemini 3 Pro Model Card,.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Gemini 3 Pro Model Card,

Reference 33

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source=pdf_text observed=2026-08-01T01:56:14.764304Z digest=sha256:3c11939b8df0ad0eb12fa0da6b1db2dd760431360f839bb5bef0c389c938c052

Observation 16a9853d-7f3f-4647-89fb-32106e1f0d4e · outbound

This paper cites Qwen3-TTS Technical Report.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Qwen3-TTS Technical Report

Reference 34

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source=pdf_text observed=2026-08-01T01:56:14.899573Z digest=sha256:4ee11dc1e5b21ee75e2db00c94be5b01e42bee6243f3d50349dd78660a63f281

Observation 70c8fe36-c9f4-459e-8653-00ee3bb37596 · outbound

This paper cites Libritts: A corpus derived from librispeech for text-to-speech,.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Libritts: A corpus derived from librispeech for text-to-speech,

Reference 35

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source=pdf_text observed=2026-08-01T01:56:15.055628Z digest=sha256:d017b36827c078486c1a559b6dc9e5c7b0907e03a2fdf209ce7d8dfba76fca2d

Observation 2746be07-1660-430e-9efe-098d854ecdbb · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Lora: Low-rank adaptation of large language models

Reference 36

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source=pdf_text observed=2026-08-01T01:56:15.219253Z digest=sha256:461283eeb794b64bc97191e4053baf5933afb60013ef5a8354852f70511977fa

Observation c4a143f9-fc06-49cd-a2f6-9738a33dd814 · outbound

This paper cites Llamafactory: Unified efficient fine-tuning of 100+ language models,.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Llamafactory: Unified efficient fine-tuning of 100+ language models,

Reference 37

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source=pdf_text observed=2026-08-01T01:56:15.367153Z digest=sha256:0fc63d92cfd927dfdd6532d95f979c7822123c7b7fce609527e6fa3fb4dac736

Observation 2247c9d4-d3f0-4796-a860-6908b53e6719 · outbound

This paper cites Swift: a scalable lightweight infrastructure for fine-tuning,.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Swift: a scalable lightweight infrastructure for fine-tuning,

Reference 38

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source=pdf_text observed=2026-08-01T01:56:15.428263Z digest=sha256:dead330c10ca1eaf0feeb84f3a9192333c689b2147a7cb4ade4088051b72d547

Observation c80b2d73-dec6-4751-a870-8d5ae80c90d6 · outbound

This paper cites Efficient memory management for large language model serving with pagedattention,.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Efficient memory management for large language model serving with pagedattention,

Reference 39

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source=pdf_text observed=2026-08-01T01:56:15.516842Z digest=sha256:ea128e8d1d1fdd6786fa5541b8012205e2fe565b2ec7c4442632662177b6a2a9

Observation 5d816465-5b4d-4edf-9dae-ef9edcb73b9d · outbound

This paper cites Step-Audio 2 Technical Report.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Step-Audio 2 Technical Report

Reference 40

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no resolver link, observed 2026-08-01T01:56:15.582007Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T01:56:15.582007Z digest=sha256:96dc029f4fa5ef07d5631450b83cd346d77234127a351c96bed090547193fa31

Observation 58d307b7-9d7c-404c-854a-5ea24074648e · outbound

This paper cites Kimi-Audio Technical Report.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Kimi-Audio Technical Report

Reference 41

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T01:56:15.643853Z digest=sha256:a058068e03af6ea62d5175ffc65faf0090348eff9f6fcf3342222eda54dca986

Observation d578521b-6cf5-42c1-9e29-891972d52e35 · outbound

This paper cites METEOR: An automatic metric for MT evaluation with improved correlation with human judgments,.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO METEOR: An automatic metric for MT evaluation with improved correlation with human judgments,

Reference 42

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no resolver link, observed 2026-08-01T01:56:15.710381Z

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source=pdf_text observed=2026-08-01T01:56:15.710381Z digest=sha256:6b669466a5d10a1ae629e5cbe40a52f594feea23018fb349e48b8d9aa1664f83

Observation 439f410c-7174-4e76-9da5-854c20fb5d8f · outbound

This paper cites ROUGE: A package for automatic evaluation of summaries,.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO ROUGE: A package for automatic evaluation of summaries,

Reference 43

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T01:56:15.786819Z digest=sha256:65eb8cb2c432757e72bd6e421f59fd5045ed232e75695f316219e672fe89ff12

Observation 9b6ba220-21d1-4e99-b018-4c3eff565498 · outbound

This paper cites Bertscore: Evaluating text generation with bert,.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Bertscore: Evaluating text generation with bert,

Reference 44

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no resolver link, observed 2026-08-01T01:56:15.898512Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T01:56:15.898512Z digest=sha256:ce3dcd90ece75bf9bb642f3a8067da41ac698270ef204854aee1860c532704ee

Observation 68fa27f4-268f-4a15-a670-90b7d39b72ba · outbound

This paper cites Sentence-bert: Sentence embeddings using siamese bert-networks,.

Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Sentence-bert: Sentence embeddings using siamese bert-networks,

Reference 45

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no resolver link, observed 2026-08-01T01:56:16.007863Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T01:56:16.007863Z digest=sha256:941b43e0ac136bc015d9742683ec7c4f23dfd87c84291eab5a36e433770cd4ee

Pith citing papers

No inbound Pith citation observations are available.