Chii chaitika
Chidzidzo chitsva chakaburitswa paarXiv chinoongorora hukama huripo pakati pekumisikidzwa-kwakakonzeresa shanduko muLarge Language Models (LLMs) uye izvo zvinokonzeresa zvinokonzeresa kuita basa, sezvakaonekwa neEAP (Edge Attribution Patching).
Chidzidzo ichi chinoongorora magadzirirwo ekugadzirisa zvakanaka magadzirirwo emukati, kunyanya kutarisisa maitiro ekutarisa uye layer-huchenjeri activation. Vachishandisa EAP, vatsvakurudzi vakaona zvinhu zvakati-zvakadai semisoro yekutarisisa uye logit-level activation-inofambisa zvakananga kuita basa.
Vatsvakurudzi vakaona kuti zvinhu izvi zvine chokuita nebasa zvakanyura mukati mezvikamu zvakasiyana, zvichiratidza dhigirii rekushanda kwenzvimbo. Zvisineyi, mitsara inopinda zvakanyanya kumiririra shanduko panguva yekugadzirisa zvakanaka haienderane nezvikamu zvine izvi zvinokonzeresa zvikamu.
Chidzidzo chacho chakawedzera kuongorora kushanda kwe-cross-task performance. Yakaona kuti kunyangwe kana mabasa achigovana dhigirii yakakwira yekupindirana mune yavo EAP-inozivikanwa causal zvikamu, izvi hazvivimbisi kuita kwakanaka kwekufambisa. Mune zvimwe zviitiko, kunyatsogadzirisa pane rimwe basa kwakanyatso kushatisa kuita pane rimwe, kunyangwe yakagovaniswa causal dhizaini.
Kwakabva mashoko: arxiv.org ↗
Nei zvichikosha
Tsvagiridzo iyi inopikisa fungidziro yekuti yakakura yemukati modhi inoshanduka panguva yekumisikidzwa kwakakosha kana inobatsira pakuita basa. Nekuratidza kuti kumiririra kuchinjika kunowanzo kuparadzaniswa kubva kune causal maitiro, chidzidzo chinoratidza kusakosha kwakakosha mune yazvino dzidziso paradigms. Inoratidza kuti kunyatsogadzirisa kunogona kukanganisa kugadzikana kwemuenzaniso nekusaziva, sezvinoratidzwa nekuwana kuti kupindirana kwezvikonzero zvinokonzera pakati pemabasa kunogona kutungamirira mukuderera kwekuita pane kutamisa kwakanaka.
Kubatanidzwa kwekuchinja kwekumiririra kubva mukukosha kwechikonzero kunoratidza kuti maitiro ekugadzirisa zvakanaka azvino anogona kunge ari 'mheremhere,' achigadzirisa zvikamu zvemuenzaniso izvo zvisingabatsire kune zvinodikanwa zvebasa. Izvi zvinopa hwaro hwefungidziro yekuti nei kunyatso-tuna kuchigona kutungamira kune njodzi kukanganwa kana kusatarisira kudonha kwekuita.
Kuwana kuti kupindirana kwezvinokonzeresa zvinokonzeresa zvinogona kutungamira mukuderera kwekuita kwakakosha zvakanyanya pakudzidza-mazhinji-basa. Zvinoreva kuti kungogovana zvikamu pakati pemabasa hazvina kukwana kuti ubudirire uye kuti maitiro emabasa (semuenzaniso, kupatsanurwa kunopesana nechizvarwa) kunotora basa rakakosha mumabatiro anoita zvikamu izvi.
Iri basa rinopa hurongwa hwevagadziri kuti vatarise zvirinani kushanda kwepaipi yavo yekunyatsogadzirisa, zvingangotungamira kune nzira dzekudzidzisa dzakanyanya hunyanzvi dzinotarisa pakugadzirisa chete zvinonyanya kukosha zvikamu zvinokonzeresa.
Interactive Mechanism: Iyo Inonyatsoshanda
Ongorora ari pasi tekinoroji kuseri kwekusimudzira uku uchipindirana.
What is the best response when AI Models Explained makes a mistake in production?
Zvekutarisa zvinotevera
Tsvagiridzo yeramangwana mune dzimwe nzira dzakanangwa dzekugadzirisa zvakanaka dzinoisa pamberi pezvinokonzeresa pamusoro pezvakakura zvinomiririra zvigadziriso, uye kuti izvi zvakawanikwa zvine magadzirirwo emhando dzakasiyana kupfuura ayo akaedzwa muchidzidzo.
Chidzidzo chacho hachitsananguri maitiro chaiwo akaedzwa kana kuwanikwa kwekodhi inoshandiswa pakuongorora kweEAP, ichisiya kushandiswa kunoshanda kune vashandi iye zvino zvisingazivikanwi.
Vacherechedzi vanofanirwa kutarisa kuti zviwanikwa izvi zvinotungamira mukugadzirwa kwemaitiro e 'causally-aware' ekugadzirisa zvakanaka ayo anovavarira kudzikisira machinjiro asina kufanira ekumiririra.
Izvo zvinoramba zvichionekwa kana mhedzisiro iyi ichienderana pamhando dzakasiyana dzemhando uye mavakirwo, kana kuti dzakanangana nemhando dzakaongororwa mutsvakurudzo iyi.