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GCAgent: Enhancing Group Chat Communication through Dialogue Agents System

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์ €์ž

Zijie Meng, Zheyong Xie, Zheyu Ye, Chonggang Lu, Zuozhu Liu, Zihan Niu, Yao Hu, Shaosheng Cao

๐Ÿ’ก ๊ฐœ์š”

์˜จ๋ผ์ธ ์†Œ์…œ ํ”Œ๋žซํผ์—์„œ ๊ทธ๋ฃน ์ฑ„ํŒ…์˜ ๋น„ํ™œ์„ฑํ™” ๋ฐ ๊ด€๋ฆฌ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด, ๋ณธ ์—ฐ๊ตฌ๋Š” ์—”ํ„ฐํ…Œ์ธ๋จผํŠธ ๋ฐ ์œ ํ‹ธ๋ฆฌํ‹ฐ ๋ชฉ์ ์˜ ๋Œ€ํ™” ์—์ด์ „ํŠธ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๊ทธ๋ฃน ์ฑ„ํŒ…์˜ ์†Œํ†ต์„ ๊ฐ•ํ™”ํ•˜๋Š” LLM ๊ธฐ๋ฐ˜ ์‹œ์Šคํ…œ์ธ GCAgent๋ฅผ ์ œ์•ˆํ•ฉ๋‹ˆ๋‹ค. GCAgent๋Š” ์‚ฌ์šฉ์ž ๊ด€์‹ฌ์‚ฌ์— ๋งž๋Š” ์—์ด์ „ํŠธ ์ปค์Šคํ„ฐ๋งˆ์ด์ง•, ๋Œ€ํ™” ์ƒํƒœ ๊ด€๋ฆฌ ๋ฐ ์—์ด์ „ํŠธ ํ˜ธ์ถœ ์กฐ์ •์„ ์œ„ํ•œ ๋ชจ๋“ˆ์„ ํฌํ•จํ•˜๋ฉฐ, ์ธํ„ฐํŽ˜์ด์Šค ํ”Œ๋Ÿฌ๊ทธ์ธ์„ ํ†ตํ•ด ์ƒํ˜ธ์ž‘์šฉ์˜ ์žฅ๋ฒฝ์„ ๋‚ฎ์ถฅ๋‹ˆ๋‹ค. ์‹คํ—˜ ๊ฒฐ๊ณผ, GCAgent๋Š” ๋‹ค์–‘ํ•œ ๊ธฐ์ค€์—์„œ ํ‰๊ท  4.68์ ์„ ํš๋“ํ•˜๊ณ  ๊ธฐ์กด ๋ชจ๋ธ ๋Œ€๋น„ 51.04%์˜ ์„ ํ˜ธ๋„๋ฅผ ๋ณด์˜€์œผ๋ฉฐ, ์‹ค์ œ ๋ฐฐํฌ์—์„œ๋Š” ๋ฉ”์‹œ์ง€ ๋ณผ๋ฅจ์„ 28.80% ์ฆ๊ฐ€์‹œ์ผœ ๊ทธ๋ฃน ํ™œ๋™์„ฑ์„ ํฌ๊ฒŒ ํ–ฅ์ƒ์‹œ์ผฐ์Šต๋‹ˆ๋‹ค.

๐Ÿ”‘ ์‹œ์‚ฌ์  ๋ฐ ํ•œ๊ณ„

โ€ข
LLM ๊ธฐ๋ฐ˜ ๋Œ€ํ™” ์—์ด์ „ํŠธ์˜ ๋‹จ์ผ ์ฑ„ํŒ…์„ ๋„˜์–ด ๋‹ค์ค‘ ์ฐธ๊ฐ€์ž ๊ทธ๋ฃน ์‹œ๋‚˜๋ฆฌ์˜ค๋กœ์˜ ํ™•์žฅ์ด ๊ฐ€๋Šฅํ•จ์„ ์ž…์ฆํ•ฉ๋‹ˆ๋‹ค.
โ€ข
์‚ฌ์šฉ์ž ๋งž์ถคํ˜• ์—์ด์ „ํŠธ ์„ค๊ณ„ ๋ฐ ํšจ์œจ์ ์ธ ๋Œ€ํ™” ๊ด€๋ฆฌ๋ฅผ ํ†ตํ•ด ๊ทธ๋ฃน ์ฑ„ํŒ…์˜ ์ฐธ์—ฌ๋„์™€ ์œ ์šฉ์„ฑ์„ ์‹ค์งˆ์ ์œผ๋กœ ๋†’์ผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
โ€ข
์‹œ์Šคํ…œ์˜ ๋ณต์žก์„ฑ ์ฆ๊ฐ€ ๋ฐ ๋‹ค์–‘ํ•œ ๊ทธ๋ฃน ์œ ํ˜• ๋ฐ ์‚ฌ์šฉ์ž ํ–‰๋™์— ๋Œ€ํ•œ ์ผ๋ฐ˜ํ™” ์„ฑ๋Šฅ ๊ฒ€์ฆ์ด ์ถ”๊ฐ€์ ์œผ๋กœ ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค.
๐Ÿ‘
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